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You searched for subject:(adaptive dynamic programming). Showing records 1 – 30 of 35 total matches.

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Cornell University

1. Finseth, Ryan. Cost-Effective Recovery Of An Endangered Species: The Red-Cockaded Woodpecker .

Degree: 2012, Cornell University

 A model for the cost-effective recovery for an endangered species is developed and applied to the red-cockaded woodpecker (Picoides borealis), an endangered species once abundant… (more)

Subjects/Keywords: Endangered Species Recovery; Dynamic Programming; Adaptive Management

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Finseth, R. (2012). Cost-Effective Recovery Of An Endangered Species: The Red-Cockaded Woodpecker . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/29472

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Finseth, Ryan. “Cost-Effective Recovery Of An Endangered Species: The Red-Cockaded Woodpecker .” 2012. Thesis, Cornell University. Accessed August 08, 2020. http://hdl.handle.net/1813/29472.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Finseth, Ryan. “Cost-Effective Recovery Of An Endangered Species: The Red-Cockaded Woodpecker .” 2012. Web. 08 Aug 2020.

Vancouver:

Finseth R. Cost-Effective Recovery Of An Endangered Species: The Red-Cockaded Woodpecker . [Internet] [Thesis]. Cornell University; 2012. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1813/29472.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Finseth R. Cost-Effective Recovery Of An Endangered Species: The Red-Cockaded Woodpecker . [Thesis]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/29472

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New South Wales

2. Le, Tung Mai. An adaptive signal-vehicle cooperative control system.

Degree: Computer Science & Engineering, 2013, University of New South Wales

 In this thesis, we propose a fully cooperative control scheme that produces both effective traffic schedules for the traffic lights and suitable speeds for oncoming… (more)

Subjects/Keywords: Signal-vehicle communication; Approximate dynamic programming; Adaptive traffic control; Intelligent vehicles

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APA (6th Edition):

Le, T. M. (2013). An adaptive signal-vehicle cooperative control system. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Le, Tung Mai. “An adaptive signal-vehicle cooperative control system.” 2013. Doctoral Dissertation, University of New South Wales. Accessed August 08, 2020. http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true.

MLA Handbook (7th Edition):

Le, Tung Mai. “An adaptive signal-vehicle cooperative control system.” 2013. Web. 08 Aug 2020.

Vancouver:

Le TM. An adaptive signal-vehicle cooperative control system. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2020 Aug 08]. Available from: http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true.

Council of Science Editors:

Le TM. An adaptive signal-vehicle cooperative control system. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true


Delft University of Technology

3. Pollack, Tijmen (author). Safe Curriculum Learning for Primary Flight Control.

Degree: 2019, Delft University of Technology

 Reinforcement learning (RL) enables the autonomous formation of optimal, adaptive control laws for systems with complex, uncertain dynamics. This process generally requires a learning agent… (more)

Subjects/Keywords: flight control; reinforcement learning; adaptive dynamic programming; curriculum learning; safe learning

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APA (6th Edition):

Pollack, T. (. (2019). Safe Curriculum Learning for Primary Flight Control. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1b2becfd-c2db-43fc-a273-a3ff6a9ba50a

Chicago Manual of Style (16th Edition):

Pollack, Tijmen (author). “Safe Curriculum Learning for Primary Flight Control.” 2019. Masters Thesis, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:1b2becfd-c2db-43fc-a273-a3ff6a9ba50a.

MLA Handbook (7th Edition):

Pollack, Tijmen (author). “Safe Curriculum Learning for Primary Flight Control.” 2019. Web. 08 Aug 2020.

Vancouver:

Pollack T(. Safe Curriculum Learning for Primary Flight Control. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:1b2becfd-c2db-43fc-a273-a3ff6a9ba50a.

Council of Science Editors:

Pollack T(. Safe Curriculum Learning for Primary Flight Control. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:1b2becfd-c2db-43fc-a273-a3ff6a9ba50a

4. Machado, Rui Mário da Silva. Massivel y parallel declarative computational models.

Degree: 2013, Universidade de Évora

 Current computer archictectures are parallel, with an increasing number of processors. Parallel programming is an error-prone task and declarative models such as those based on… (more)

Subjects/Keywords: UTS; GPI; Constraint programming; Local search; Adaptive search; Parallel programming; Work stealing; Dynamic load balancing

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APA (6th Edition):

Machado, R. M. d. S. (2013). Massivel y parallel declarative computational models. (Thesis). Universidade de Évora. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/12063

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Machado, Rui Mário da Silva. “Massivel y parallel declarative computational models.” 2013. Thesis, Universidade de Évora. Accessed August 08, 2020. http://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/12063.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Machado, Rui Mário da Silva. “Massivel y parallel declarative computational models.” 2013. Web. 08 Aug 2020.

Vancouver:

Machado RMdS. Massivel y parallel declarative computational models. [Internet] [Thesis]. Universidade de Évora; 2013. [cited 2020 Aug 08]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/12063.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Machado RMdS. Massivel y parallel declarative computational models. [Thesis]. Universidade de Évora; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/12063

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

5. Pohl, Franz (author). Adaptive-Critic Designs For Aircraft Control: A comparative study between Heuristic Dynamic Programming and Dual Heuristic Programming.

Degree: 2017, Delft University of Technology

 The Variable Camber Continuous Trailing Edge Flap (VCCTEF) is a novel aircraft control system that intents to prevent undesired aeroelastic deflections by precise lift tailoring… (more)

Subjects/Keywords: Heuristic Dynamic Programming; Dual Heuristic Programming; Reinforcement Learning; Aircraft Control; adaptive control; Adaptive Critic Designs; ACD; HDP; DHP

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pohl, F. (. (2017). Adaptive-Critic Designs For Aircraft Control: A comparative study between Heuristic Dynamic Programming and Dual Heuristic Programming. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a7f6db8c-8e03-4506-a0c5-cbfa4ece5d7a

Chicago Manual of Style (16th Edition):

Pohl, Franz (author). “Adaptive-Critic Designs For Aircraft Control: A comparative study between Heuristic Dynamic Programming and Dual Heuristic Programming.” 2017. Masters Thesis, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:a7f6db8c-8e03-4506-a0c5-cbfa4ece5d7a.

MLA Handbook (7th Edition):

Pohl, Franz (author). “Adaptive-Critic Designs For Aircraft Control: A comparative study between Heuristic Dynamic Programming and Dual Heuristic Programming.” 2017. Web. 08 Aug 2020.

Vancouver:

Pohl F(. Adaptive-Critic Designs For Aircraft Control: A comparative study between Heuristic Dynamic Programming and Dual Heuristic Programming. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:a7f6db8c-8e03-4506-a0c5-cbfa4ece5d7a.

Council of Science Editors:

Pohl F(. Adaptive-Critic Designs For Aircraft Control: A comparative study between Heuristic Dynamic Programming and Dual Heuristic Programming. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:a7f6db8c-8e03-4506-a0c5-cbfa4ece5d7a

6. Moreno, Gabriel A. Adaptation Timing in Self-Adaptive Systems.

Degree: 2017, Carnegie Mellon University

 Software-intensive systems are increasingly expected to operate under changing and uncertain conditions, including not only varying user needs and workloads, but also fluctuating resource capacity.… (more)

Subjects/Keywords: self-adaptive systems; latency-aware; proactive; probabilistic model checking; stochastic dynamic programming

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APA (6th Edition):

Moreno, G. A. (2017). Adaptation Timing in Self-Adaptive Systems. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/925

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Moreno, Gabriel A. “Adaptation Timing in Self-Adaptive Systems.” 2017. Thesis, Carnegie Mellon University. Accessed August 08, 2020. http://repository.cmu.edu/dissertations/925.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Moreno, Gabriel A. “Adaptation Timing in Self-Adaptive Systems.” 2017. Web. 08 Aug 2020.

Vancouver:

Moreno GA. Adaptation Timing in Self-Adaptive Systems. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Aug 08]. Available from: http://repository.cmu.edu/dissertations/925.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moreno GA. Adaptation Timing in Self-Adaptive Systems. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/925

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queens University

7. Li, Wenjie. Popularity-driven Caching Strategy for Dynamic Adaptive Streaming over Information-Centric Networks .

Degree: Computing, 2015, Queens University

 The growing demand for video streaming is straining the current Internet, and mandating a novel approach to future Internet paradigms. The advent of Information-Centric Networks… (more)

Subjects/Keywords: in-network caching ; Optimization ; Content-centric network ; Queueing analysis ; Binary integer programming ; Dynamic adaptive streaming

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APA (6th Edition):

Li, W. (2015). Popularity-driven Caching Strategy for Dynamic Adaptive Streaming over Information-Centric Networks . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/13414

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Wenjie. “Popularity-driven Caching Strategy for Dynamic Adaptive Streaming over Information-Centric Networks .” 2015. Thesis, Queens University. Accessed August 08, 2020. http://hdl.handle.net/1974/13414.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Wenjie. “Popularity-driven Caching Strategy for Dynamic Adaptive Streaming over Information-Centric Networks .” 2015. Web. 08 Aug 2020.

Vancouver:

Li W. Popularity-driven Caching Strategy for Dynamic Adaptive Streaming over Information-Centric Networks . [Internet] [Thesis]. Queens University; 2015. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1974/13414.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li W. Popularity-driven Caching Strategy for Dynamic Adaptive Streaming over Information-Centric Networks . [Thesis]. Queens University; 2015. Available from: http://hdl.handle.net/1974/13414

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

8. Chotikorn, Nattapong. Implementations of Fuzzy Adaptive Dynamic Programming Controls on DC to DC Converters.

Degree: 2019, University of North Texas

 DC to DC converters stabilize the voltage obtained from voltage sources such as solar power system, wind energy sources, wave energy sources, rectified voltage from… (more)

Subjects/Keywords: Adaptive Dynamic Programming; Adaptive Neuro-Fuzzy Inference System; ANFIS; SEPIC Converter; ADP; Non-Inverting Buck-Boost Converter

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APA (6th Edition):

Chotikorn, N. (2019). Implementations of Fuzzy Adaptive Dynamic Programming Controls on DC to DC Converters. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1505139/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chotikorn, Nattapong. “Implementations of Fuzzy Adaptive Dynamic Programming Controls on DC to DC Converters.” 2019. Thesis, University of North Texas. Accessed August 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc1505139/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chotikorn, Nattapong. “Implementations of Fuzzy Adaptive Dynamic Programming Controls on DC to DC Converters.” 2019. Web. 08 Aug 2020.

Vancouver:

Chotikorn N. Implementations of Fuzzy Adaptive Dynamic Programming Controls on DC to DC Converters. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Aug 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505139/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chotikorn N. Implementations of Fuzzy Adaptive Dynamic Programming Controls on DC to DC Converters. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505139/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitat Politècnica de València

9. Díaz Iza, Henry Paúl. Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming .

Degree: 2020, Universitat Politècnica de València

 [ES] La presente Tesis emplea técnicas de programación dinámica y aprendizaje por refuerzo para el control de sistemas no lineales en espacios discretos y continuos.… (more)

Subjects/Keywords: Optimal control; Linear programming; Approximate dynamic programming; Control applications; Neural networks; Adaptive dynamic programming fitted Q function; Reinforcement learning; Takagi-Sugeno; Linear matrix inequality; Intelligent control

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APA (6th Edition):

Díaz Iza, H. P. (2020). Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/139135

Chicago Manual of Style (16th Edition):

Díaz Iza, Henry Paúl. “Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming .” 2020. Doctoral Dissertation, Universitat Politècnica de València. Accessed August 08, 2020. http://hdl.handle.net/10251/139135.

MLA Handbook (7th Edition):

Díaz Iza, Henry Paúl. “Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming .” 2020. Web. 08 Aug 2020.

Vancouver:

Díaz Iza HP. Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2020. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10251/139135.

Council of Science Editors:

Díaz Iza HP. Value Function Estimation in Optimal Control via Takagi-Sugeno Models and Linear Programming . [Doctoral Dissertation]. Universitat Politècnica de València; 2020. Available from: http://hdl.handle.net/10251/139135


Clemson University

10. Nasrollahzadeh, Amir Ali. Approximate Dynamic Programming: Health Care Applications.

Degree: PhD, Industrial Engineering, 2019, Clemson University

  This dissertation considers different approximate solutions to Markov decision problems formulated within the dynamic programming framework in two health care applications. Dynamic formulations are… (more)

Subjects/Keywords: Adaptive Clinical Trials; Ambulance Operations Management; Approximate Dynamic Programming; Dose-Finding Studies; Dynamic Learning; Optimal Stopping of Clinical Trials

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APA (6th Edition):

Nasrollahzadeh, A. A. (2019). Approximate Dynamic Programming: Health Care Applications. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2343

Chicago Manual of Style (16th Edition):

Nasrollahzadeh, Amir Ali. “Approximate Dynamic Programming: Health Care Applications.” 2019. Doctoral Dissertation, Clemson University. Accessed August 08, 2020. https://tigerprints.clemson.edu/all_dissertations/2343.

MLA Handbook (7th Edition):

Nasrollahzadeh, Amir Ali. “Approximate Dynamic Programming: Health Care Applications.” 2019. Web. 08 Aug 2020.

Vancouver:

Nasrollahzadeh AA. Approximate Dynamic Programming: Health Care Applications. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2020 Aug 08]. Available from: https://tigerprints.clemson.edu/all_dissertations/2343.

Council of Science Editors:

Nasrollahzadeh AA. Approximate Dynamic Programming: Health Care Applications. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2343

11. Shrestha, Dipesh. Virtual Inertia Emulation to Improve Dynamic Frequency Stability of Low Inertia Microgrids.

Degree: MS, Electrical Engineering and Computer Science, 2016, South Dakota State University

  Due to low inertia and the intermittent nature of photovoltaic systems, dynamic frequency stability issues arise in microgrids with large photovoltaic systems. This limits… (more)

Subjects/Keywords: adaptive dynamic programming; energy storage systems; frequency stability; microgrids; PID controller; virtual inertia; Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shrestha, D. (2016). Virtual Inertia Emulation to Improve Dynamic Frequency Stability of Low Inertia Microgrids. (Masters Thesis). South Dakota State University. Retrieved from https://openprairie.sdstate.edu/etd/1115

Chicago Manual of Style (16th Edition):

Shrestha, Dipesh. “Virtual Inertia Emulation to Improve Dynamic Frequency Stability of Low Inertia Microgrids.” 2016. Masters Thesis, South Dakota State University. Accessed August 08, 2020. https://openprairie.sdstate.edu/etd/1115.

MLA Handbook (7th Edition):

Shrestha, Dipesh. “Virtual Inertia Emulation to Improve Dynamic Frequency Stability of Low Inertia Microgrids.” 2016. Web. 08 Aug 2020.

Vancouver:

Shrestha D. Virtual Inertia Emulation to Improve Dynamic Frequency Stability of Low Inertia Microgrids. [Internet] [Masters thesis]. South Dakota State University; 2016. [cited 2020 Aug 08]. Available from: https://openprairie.sdstate.edu/etd/1115.

Council of Science Editors:

Shrestha D. Virtual Inertia Emulation to Improve Dynamic Frequency Stability of Low Inertia Microgrids. [Masters Thesis]. South Dakota State University; 2016. Available from: https://openprairie.sdstate.edu/etd/1115


University of Florida

12. Lin, Shiow-Min, 1960- ( author ). Formulation and evaluation of a methodology for network-wide signal optimization.

Degree: PhD, Civil Engineering, University of Florida

 The solution algorithm for the methodology developed in this study is based entirely on dynamic programming, and it is capable of performing network-wide signal optimization.… (more)

Subjects/Keywords: real-time  – adaptive control  – distributed system  – dynamic programming

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APA (6th Edition):

Lin, Shiow-Min, 1. (. a. ). (n.d.). Formulation and evaluation of a methodology for network-wide signal optimization. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/AA00064302

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Lin, Shiow-Min, 1960- ( author ). “Formulation and evaluation of a methodology for network-wide signal optimization.” Doctoral Dissertation, University of Florida. Accessed August 08, 2020. https://ufdc.ufl.edu/AA00064302.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Lin, Shiow-Min, 1960- ( author ). “Formulation and evaluation of a methodology for network-wide signal optimization.” Web. 08 Aug 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Lin, Shiow-Min 1(a). Formulation and evaluation of a methodology for network-wide signal optimization. [Internet] [Doctoral dissertation]. University of Florida; [cited 2020 Aug 08]. Available from: https://ufdc.ufl.edu/AA00064302.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Lin, Shiow-Min 1(a). Formulation and evaluation of a methodology for network-wide signal optimization. [Doctoral Dissertation]. University of Florida; Available from: https://ufdc.ufl.edu/AA00064302

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Ohio University

13. Sahinoglu, Mehmet Murat. Development of a real-time learning scheduler using adaptive critics concepts.

Degree: MS, Industrial and Manufacturing Systems Engineering (Engineering), 1993, Ohio University

  Manufacturing systems involve human beings, machinery, non-linear dynamics, and a fusion of hierarchical and distributed organizational schemes. The cost-effective control and scheduling of these… (more)

Subjects/Keywords: Engineering, Industrial; Real-Time Learning Scheduler; Adaptive Critics; Artificial Neural Networks; Dynamic Programming

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APA (6th Edition):

Sahinoglu, M. M. (1993). Development of a real-time learning scheduler using adaptive critics concepts. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175881220

Chicago Manual of Style (16th Edition):

Sahinoglu, Mehmet Murat. “Development of a real-time learning scheduler using adaptive critics concepts.” 1993. Masters Thesis, Ohio University. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175881220.

MLA Handbook (7th Edition):

Sahinoglu, Mehmet Murat. “Development of a real-time learning scheduler using adaptive critics concepts.” 1993. Web. 08 Aug 2020.

Vancouver:

Sahinoglu MM. Development of a real-time learning scheduler using adaptive critics concepts. [Internet] [Masters thesis]. Ohio University; 1993. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175881220.

Council of Science Editors:

Sahinoglu MM. Development of a real-time learning scheduler using adaptive critics concepts. [Masters Thesis]. Ohio University; 1993. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175881220

14. Xie, Yuanchang. Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning.

Degree: 2009, Texas A&M University

 This dissertation develops and evaluates a new adaptive traffic signal control system for arterials. This control system is based on reinforcement learning, which is an… (more)

Subjects/Keywords: Reinforcement Learning; Adaptive Traffic Signal Control; Arterial; Dynamic Programming; Agent

…40 Figure 15 Policy iteration of dynamic programming… …45 Figure 16 Value iteration of dynamic programming… …based on dynamic programming, and these systems’ applicability may be limited due to… …reinforcement learning method can well circumvent the problems associated with dynamic programming… …called DYPIC based on dynamic programming for an isolated intersection. A simple intersection… 

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APA (6th Edition):

Xie, Y. (2009). Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2480

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xie, Yuanchang. “Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning.” 2009. Thesis, Texas A&M University. Accessed August 08, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2480.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xie, Yuanchang. “Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning.” 2009. Web. 08 Aug 2020.

Vancouver:

Xie Y. Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2480.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xie Y. Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2480

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Pereira, Carlos Diego Cavalcanti. X-PRO (Extreme Software Process): Um Framework para Desenvolvimento Eficiente de Software Baseado em Metodologias Ágeis .

Degree: 2014, Universidade Federal de Pernambuco

 As metodologias ágeis de desenvolvimento de software emergiram como alternativa para processos prescritivos, os quais são classificados como excessivamente formais. Com objetivo de viabilizar entregas… (more)

Subjects/Keywords: Engenharia de Software; Metodologias Ágeis; Modelagem Ágil de Software; Scrum; Extreme Programming; Crystal; Dynamic Systems Development Method; Adaptive Software Development; Feature-Driven Development; Behavior-Driven Development; Test-Driven Development

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pereira, C. D. C. (2014). X-PRO (Extreme Software Process): Um Framework para Desenvolvimento Eficiente de Software Baseado em Metodologias Ágeis . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/11278

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pereira, Carlos Diego Cavalcanti. “X-PRO (Extreme Software Process): Um Framework para Desenvolvimento Eficiente de Software Baseado em Metodologias Ágeis .” 2014. Thesis, Universidade Federal de Pernambuco. Accessed August 08, 2020. http://repositorio.ufpe.br/handle/123456789/11278.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pereira, Carlos Diego Cavalcanti. “X-PRO (Extreme Software Process): Um Framework para Desenvolvimento Eficiente de Software Baseado em Metodologias Ágeis .” 2014. Web. 08 Aug 2020.

Vancouver:

Pereira CDC. X-PRO (Extreme Software Process): Um Framework para Desenvolvimento Eficiente de Software Baseado em Metodologias Ágeis . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2014. [cited 2020 Aug 08]. Available from: http://repositorio.ufpe.br/handle/123456789/11278.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pereira CDC. X-PRO (Extreme Software Process): Um Framework para Desenvolvimento Eficiente de Software Baseado em Metodologias Ágeis . [Thesis]. Universidade Federal de Pernambuco; 2014. Available from: http://repositorio.ufpe.br/handle/123456789/11278

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Malla, Naresh. Intelligent Learning Control System Design Based on Adaptive Dynamic Programming.

Degree: MS, Electrical Engineering and Computer Science, 2017, South Dakota State University

Adaptive dynamic programming (ADP) controller is a powerful neural network based control technique that has been investigated, designed, and tested in a wide range… (more)

Subjects/Keywords: Adaptive dynamic programming; Experience replay; Prioritized experience replay; Reinforcement learning; Shunt active filters; Virtual synchronous machines; Controls and Control Theory; Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Malla, N. (2017). Intelligent Learning Control System Design Based on Adaptive Dynamic Programming. (Masters Thesis). South Dakota State University. Retrieved from https://openprairie.sdstate.edu/etd/1742

Chicago Manual of Style (16th Edition):

Malla, Naresh. “Intelligent Learning Control System Design Based on Adaptive Dynamic Programming.” 2017. Masters Thesis, South Dakota State University. Accessed August 08, 2020. https://openprairie.sdstate.edu/etd/1742.

MLA Handbook (7th Edition):

Malla, Naresh. “Intelligent Learning Control System Design Based on Adaptive Dynamic Programming.” 2017. Web. 08 Aug 2020.

Vancouver:

Malla N. Intelligent Learning Control System Design Based on Adaptive Dynamic Programming. [Internet] [Masters thesis]. South Dakota State University; 2017. [cited 2020 Aug 08]. Available from: https://openprairie.sdstate.edu/etd/1742.

Council of Science Editors:

Malla N. Intelligent Learning Control System Design Based on Adaptive Dynamic Programming. [Masters Thesis]. South Dakota State University; 2017. Available from: https://openprairie.sdstate.edu/etd/1742

17. Maharjan, Manisha. Voltage Regulation of Low Voltage Distribution Networks.

Degree: MS, Electrical Engineering and Computer Science, 2017, South Dakota State University

  The modern voltage distribution systems consist of distributed generation (DG), like photovoltaics (PV) and wind. These resources are inexhaustible and environmentally friendly. The existing… (more)

Subjects/Keywords: active power curtailment; adaptive dynamic programming; distributed generation; low voltage distribution network; renewable energy; solid state transformer; Electrical and Computer Engineering; Power and Energy

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APA (6th Edition):

Maharjan, M. (2017). Voltage Regulation of Low Voltage Distribution Networks. (Masters Thesis). South Dakota State University. Retrieved from https://openprairie.sdstate.edu/etd/1740

Chicago Manual of Style (16th Edition):

Maharjan, Manisha. “Voltage Regulation of Low Voltage Distribution Networks.” 2017. Masters Thesis, South Dakota State University. Accessed August 08, 2020. https://openprairie.sdstate.edu/etd/1740.

MLA Handbook (7th Edition):

Maharjan, Manisha. “Voltage Regulation of Low Voltage Distribution Networks.” 2017. Web. 08 Aug 2020.

Vancouver:

Maharjan M. Voltage Regulation of Low Voltage Distribution Networks. [Internet] [Masters thesis]. South Dakota State University; 2017. [cited 2020 Aug 08]. Available from: https://openprairie.sdstate.edu/etd/1740.

Council of Science Editors:

Maharjan M. Voltage Regulation of Low Voltage Distribution Networks. [Masters Thesis]. South Dakota State University; 2017. Available from: https://openprairie.sdstate.edu/etd/1740


RMIT University

18. Roozbeh, I. Optimisation approaches for an orienteering problem with applications to wildfire management.

Degree: 2019, RMIT University

 During uncontrollable wildfires, Incident Management Teams (ITMs) dispatch vehicles for tasks aimed at reducing the hazard to key assets. The deployment plan is complicated by… (more)

Subjects/Keywords: Fields of Research; orienteering problem; asset protection problem; stochastic programming; adaptive large neighbourhood search; dynamic rerouting; synchronisation constraint; wildfire management; heuristic algorithms

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APA (6th Edition):

Roozbeh, I. (2019). Optimisation approaches for an orienteering problem with applications to wildfire management. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162938

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Roozbeh, I. “Optimisation approaches for an orienteering problem with applications to wildfire management.” 2019. Thesis, RMIT University. Accessed August 08, 2020. http://researchbank.rmit.edu.au/view/rmit:162938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Roozbeh, I. “Optimisation approaches for an orienteering problem with applications to wildfire management.” 2019. Web. 08 Aug 2020.

Vancouver:

Roozbeh I. Optimisation approaches for an orienteering problem with applications to wildfire management. [Internet] [Thesis]. RMIT University; 2019. [cited 2020 Aug 08]. Available from: http://researchbank.rmit.edu.au/view/rmit:162938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roozbeh I. Optimisation approaches for an orienteering problem with applications to wildfire management. [Thesis]. RMIT University; 2019. Available from: http://researchbank.rmit.edu.au/view/rmit:162938

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Choi, Jinbae. Closed-Loop Optimal Control of Discrete-Time Multiple Model Linear Systems with Unknown Parameters.

Degree: PhD, EECS - System and Control Engineering, 2016, Case Western Reserve University School of Graduate Studies

 The closed-loop optimal control of multiple model linear systems with unknown parameters is investigated. The Bellman equation is modified to include the discrete random variable… (more)

Subjects/Keywords: Electrical Engineering; Aerospace Engineering; Closed-loop optimal control; multiple model linear systems; dynamic programming; adaptive dual control; optimal dual dynamic output-feedback regulator; reconfigurable control; integrated flight and propulsion; nonlinear aircraft control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Choi, J. (2016). Closed-Loop Optimal Control of Discrete-Time Multiple Model Linear Systems with Unknown Parameters. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1441178373

Chicago Manual of Style (16th Edition):

Choi, Jinbae. “Closed-Loop Optimal Control of Discrete-Time Multiple Model Linear Systems with Unknown Parameters.” 2016. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1441178373.

MLA Handbook (7th Edition):

Choi, Jinbae. “Closed-Loop Optimal Control of Discrete-Time Multiple Model Linear Systems with Unknown Parameters.” 2016. Web. 08 Aug 2020.

Vancouver:

Choi J. Closed-Loop Optimal Control of Discrete-Time Multiple Model Linear Systems with Unknown Parameters. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2016. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1441178373.

Council of Science Editors:

Choi J. Closed-Loop Optimal Control of Discrete-Time Multiple Model Linear Systems with Unknown Parameters. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1441178373


Delft University of Technology

20. Zhou, Y. Online reinforcement learning control for aerospace systems.

Degree: 2018, Delft University of Technology

 Reinforcement Learning (RL) methods are relatively new in the field of aerospace guidance, navigation, and control. This dissertation aims to exploit RL methods to improve… (more)

Subjects/Keywords: Reinforcement Learning; Aerospace Systems; Optimal Adaptive Control; Approximate Dynamic Programming; Adaptive Critic Designs; Incremental Model; Nonlinear Systems; Partial Observability; Hierarchical Reinforcement Learning; HybridMethods

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APA (6th Edition):

Zhou, Y. (2018). Online reinforcement learning control for aerospace systems. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; urn:NBN:nl:ui:24-uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; 5b875915-2518-4ec8-a1a0-07ad057edab4 ; 10.4233/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; urn:isbn:978-94-6366-021-1 ; urn:NBN:nl:ui:24-uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; http://resolver.tudelft.nl/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4

Chicago Manual of Style (16th Edition):

Zhou, Y. “Online reinforcement learning control for aerospace systems.” 2018. Doctoral Dissertation, Delft University of Technology. Accessed August 08, 2020. http://resolver.tudelft.nl/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; urn:NBN:nl:ui:24-uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; 5b875915-2518-4ec8-a1a0-07ad057edab4 ; 10.4233/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; urn:isbn:978-94-6366-021-1 ; urn:NBN:nl:ui:24-uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; http://resolver.tudelft.nl/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4.

MLA Handbook (7th Edition):

Zhou, Y. “Online reinforcement learning control for aerospace systems.” 2018. Web. 08 Aug 2020.

Vancouver:

Zhou Y. Online reinforcement learning control for aerospace systems. [Internet] [Doctoral dissertation]. Delft University of Technology; 2018. [cited 2020 Aug 08]. Available from: http://resolver.tudelft.nl/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; urn:NBN:nl:ui:24-uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; 5b875915-2518-4ec8-a1a0-07ad057edab4 ; 10.4233/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; urn:isbn:978-94-6366-021-1 ; urn:NBN:nl:ui:24-uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; http://resolver.tudelft.nl/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4.

Council of Science Editors:

Zhou Y. Online reinforcement learning control for aerospace systems. [Doctoral Dissertation]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; urn:NBN:nl:ui:24-uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; 5b875915-2518-4ec8-a1a0-07ad057edab4 ; 10.4233/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; urn:isbn:978-94-6366-021-1 ; urn:NBN:nl:ui:24-uuid:5b875915-2518-4ec8-a1a0-07ad057edab4 ; http://resolver.tudelft.nl/uuid:5b875915-2518-4ec8-a1a0-07ad057edab4


Penn State University

21. Fang, Fang. OPTIMAL ADAPTIVE SIGNAL CONTROL FOR.

Degree: PhD, Civil Engineering, 2004, Penn State University

 The signalization of two closely spaced intersections in interchanges presents a major challenge in providing efficient traffic operations within the highway system. In current practice,… (more)

Subjects/Keywords: Signal Optimization; Diamond Interchanges; Dynamic Programming; Traffic Simulation; Adaptive Signal Control; ITS (Intelligent Transportation Systems); Real-time Signal Control

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APA (6th Edition):

Fang, F. (2004). OPTIMAL ADAPTIVE SIGNAL CONTROL FOR. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/6297

Chicago Manual of Style (16th Edition):

Fang, Fang. “OPTIMAL ADAPTIVE SIGNAL CONTROL FOR.” 2004. Doctoral Dissertation, Penn State University. Accessed August 08, 2020. https://etda.libraries.psu.edu/catalog/6297.

MLA Handbook (7th Edition):

Fang, Fang. “OPTIMAL ADAPTIVE SIGNAL CONTROL FOR.” 2004. Web. 08 Aug 2020.

Vancouver:

Fang F. OPTIMAL ADAPTIVE SIGNAL CONTROL FOR. [Internet] [Doctoral dissertation]. Penn State University; 2004. [cited 2020 Aug 08]. Available from: https://etda.libraries.psu.edu/catalog/6297.

Council of Science Editors:

Fang F. OPTIMAL ADAPTIVE SIGNAL CONTROL FOR. [Doctoral Dissertation]. Penn State University; 2004. Available from: https://etda.libraries.psu.edu/catalog/6297

22. Adriana Cursino Thomé. SIDCDA - An adaptive configurable distributed software architecture applied to satellite control missions.

Degree: 2004, Instituto Nacional de Pesquisas Espaciais

Neste trabalho propõe-se uma arquitetura de software distribuída, configurável e adaptável aplicada às várias missões de controle de satélites, chamada SICSDA. O objetivo desta arquitetura… (more)

Subjects/Keywords: dynamic programming; metatada; information adaptive system; Arquitetura (computação); flexibilidade; programação dinâmica; metadados; sistema de informação adaptável; architecture (computers); flexibility

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APA (6th Edition):

Thomé, A. C. (2004). SIDCDA - An adaptive configurable distributed software architecture applied to satellite control missions. (Thesis). Instituto Nacional de Pesquisas Espaciais. Retrieved from http://urlib.net/sid.inpe.br/jeferson/2004/12.13.16.56

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thomé, Adriana Cursino. “SIDCDA - An adaptive configurable distributed software architecture applied to satellite control missions.” 2004. Thesis, Instituto Nacional de Pesquisas Espaciais. Accessed August 08, 2020. http://urlib.net/sid.inpe.br/jeferson/2004/12.13.16.56.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thomé, Adriana Cursino. “SIDCDA - An adaptive configurable distributed software architecture applied to satellite control missions.” 2004. Web. 08 Aug 2020.

Vancouver:

Thomé AC. SIDCDA - An adaptive configurable distributed software architecture applied to satellite control missions. [Internet] [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2004. [cited 2020 Aug 08]. Available from: http://urlib.net/sid.inpe.br/jeferson/2004/12.13.16.56.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thomé AC. SIDCDA - An adaptive configurable distributed software architecture applied to satellite control missions. [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2004. Available from: http://urlib.net/sid.inpe.br/jeferson/2004/12.13.16.56

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Nailah, Firdausiyah. MULTI-AGENT SIMULATION USING ADAPTIVE DYNAMIC PROGRAMMING BASED REINFORCEMENT LEARNING FOR EVALUATING JOINT DELIVERY SYSTEMS .

Degree: 2018, Kyoto University

Subjects/Keywords: Multi-agent simulation; Adaptive Dynamic Programming; Urban consolidation center; Joint delivery systems; City logistics

Page 1 Page 2 Page 3 Page 4

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APA (6th Edition):

Nailah, F. (2018). MULTI-AGENT SIMULATION USING ADAPTIVE DYNAMIC PROGRAMMING BASED REINFORCEMENT LEARNING FOR EVALUATING JOINT DELIVERY SYSTEMS . (Thesis). Kyoto University. Retrieved from http://hdl.handle.net/2433/235076

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nailah, Firdausiyah. “MULTI-AGENT SIMULATION USING ADAPTIVE DYNAMIC PROGRAMMING BASED REINFORCEMENT LEARNING FOR EVALUATING JOINT DELIVERY SYSTEMS .” 2018. Thesis, Kyoto University. Accessed August 08, 2020. http://hdl.handle.net/2433/235076.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nailah, Firdausiyah. “MULTI-AGENT SIMULATION USING ADAPTIVE DYNAMIC PROGRAMMING BASED REINFORCEMENT LEARNING FOR EVALUATING JOINT DELIVERY SYSTEMS .” 2018. Web. 08 Aug 2020.

Vancouver:

Nailah F. MULTI-AGENT SIMULATION USING ADAPTIVE DYNAMIC PROGRAMMING BASED REINFORCEMENT LEARNING FOR EVALUATING JOINT DELIVERY SYSTEMS . [Internet] [Thesis]. Kyoto University; 2018. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/2433/235076.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nailah F. MULTI-AGENT SIMULATION USING ADAPTIVE DYNAMIC PROGRAMMING BASED REINFORCEMENT LEARNING FOR EVALUATING JOINT DELIVERY SYSTEMS . [Thesis]. Kyoto University; 2018. Available from: http://hdl.handle.net/2433/235076

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cranfield University

24. Cho, B. Control of a hybrid electric vehicle with predictive journey estimation.

Degree: PhD, 2008, Cranfield University

 Battery energy management plays a crucial role in fuel economy improvement of charge-sustaining parallel hybrid electric vehicles. Currently available control strategies consider battery state of… (more)

Subjects/Keywords: Fuel economy; Online predictive control; Dynamic programming; Adaptive-network-based fuzzy inference system; Software-in-the-loop co-simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cho, B. (2008). Control of a hybrid electric vehicle with predictive journey estimation. (Doctoral Dissertation). Cranfield University. Retrieved from http://hdl.handle.net/1826/2589

Chicago Manual of Style (16th Edition):

Cho, B. “Control of a hybrid electric vehicle with predictive journey estimation.” 2008. Doctoral Dissertation, Cranfield University. Accessed August 08, 2020. http://hdl.handle.net/1826/2589.

MLA Handbook (7th Edition):

Cho, B. “Control of a hybrid electric vehicle with predictive journey estimation.” 2008. Web. 08 Aug 2020.

Vancouver:

Cho B. Control of a hybrid electric vehicle with predictive journey estimation. [Internet] [Doctoral dissertation]. Cranfield University; 2008. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1826/2589.

Council of Science Editors:

Cho B. Control of a hybrid electric vehicle with predictive journey estimation. [Doctoral Dissertation]. Cranfield University; 2008. Available from: http://hdl.handle.net/1826/2589


University of Illinois – Chicago

25. Huang, Ting. Neural and Learning Approaches for Automotive Engine Control and Residential Energy System Optimization.

Degree: 2012, University of Illinois – Chicago

 Due to the tightened legislation on emissions, fuel economy, and diagnostic standards in spark ignition internal combustion engines from governments, the automotive industry is striving… (more)

Subjects/Keywords: Adaptive dynamic programming; Residential energy management; Battery storage; Scheduling; Price-responsive management; Real-time pricing; Smart grid; Sliding mode control; air-to-fuel ratio control; neural control; automotive engine control; torque control; ADP

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APA (6th Edition):

Huang, T. (2012). Neural and Learning Approaches for Automotive Engine Control and Residential Energy System Optimization. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/9088

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Ting. “Neural and Learning Approaches for Automotive Engine Control and Residential Energy System Optimization.” 2012. Thesis, University of Illinois – Chicago. Accessed August 08, 2020. http://hdl.handle.net/10027/9088.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Ting. “Neural and Learning Approaches for Automotive Engine Control and Residential Energy System Optimization.” 2012. Web. 08 Aug 2020.

Vancouver:

Huang T. Neural and Learning Approaches for Automotive Engine Control and Residential Energy System Optimization. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10027/9088.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang T. Neural and Learning Approaches for Automotive Engine Control and Residential Energy System Optimization. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/9088

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cranfield University

26. Cho, B. Control of a hybrid electric vehicle with predictive journey estimation.

Degree: PhD, 2008, Cranfield University

 Battery energy management plays a crucial role in fuel economy improvement of charge-sustaining parallel hybrid electric vehicles. Currently available control strategies consider battery state of… (more)

Subjects/Keywords: 629.2; Fuel economy; Online predictive control; Dynamic programming; Adaptive-network-based fuzzy inference system; Software-in-the-loop co-simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cho, B. (2008). Control of a hybrid electric vehicle with predictive journey estimation. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/2589 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484700

Chicago Manual of Style (16th Edition):

Cho, B. “Control of a hybrid electric vehicle with predictive journey estimation.” 2008. Doctoral Dissertation, Cranfield University. Accessed August 08, 2020. http://dspace.lib.cranfield.ac.uk/handle/1826/2589 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484700.

MLA Handbook (7th Edition):

Cho, B. “Control of a hybrid electric vehicle with predictive journey estimation.” 2008. Web. 08 Aug 2020.

Vancouver:

Cho B. Control of a hybrid electric vehicle with predictive journey estimation. [Internet] [Doctoral dissertation]. Cranfield University; 2008. [cited 2020 Aug 08]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/2589 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484700.

Council of Science Editors:

Cho B. Control of a hybrid electric vehicle with predictive journey estimation. [Doctoral Dissertation]. Cranfield University; 2008. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/2589 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484700


Missouri University of Science and Technology

27. Sahoo, Avimanyu. Event sampled optimal adaptive regulation of linear and a class of nonlinear systems.

Degree: PhD, Electrical Engineering, Missouri University of Science and Technology

  In networked control systems (NCS), wherein a communication network is used to close the feedback loop, the transmission of feedback signals and execution of… (more)

Subjects/Keywords: Adaptive Dynamic Programming; Event Sampled Control; Neural Network Control; Optimal Control; Q-learning; Electrical and Computer Engineering

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APA (6th Edition):

Sahoo, A. (n.d.). Event sampled optimal adaptive regulation of linear and a class of nonlinear systems. (Doctoral Dissertation). Missouri University of Science and Technology. Retrieved from https://scholarsmine.mst.edu/doctoral_dissertations/2418

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No year of publication.

Chicago Manual of Style (16th Edition):

Sahoo, Avimanyu. “Event sampled optimal adaptive regulation of linear and a class of nonlinear systems.” Doctoral Dissertation, Missouri University of Science and Technology. Accessed August 08, 2020. https://scholarsmine.mst.edu/doctoral_dissertations/2418.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Sahoo, Avimanyu. “Event sampled optimal adaptive regulation of linear and a class of nonlinear systems.” Web. 08 Aug 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Sahoo A. Event sampled optimal adaptive regulation of linear and a class of nonlinear systems. [Internet] [Doctoral dissertation]. Missouri University of Science and Technology; [cited 2020 Aug 08]. Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2418.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Sahoo A. Event sampled optimal adaptive regulation of linear and a class of nonlinear systems. [Doctoral Dissertation]. Missouri University of Science and Technology; Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2418

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Missouri University of Science and Technology

28. Al-Dabooni, Seaar Jawad Kadhim. Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems.

Degree: PhD, Computer Engineering, Missouri University of Science and Technology

  "This dissertation investigates the application of a variety of computational intelligence techniques, particularly clustering and adaptive dynamic programming (ADP) designs especially heuristic dynamic programming(more)

Subjects/Keywords: Adaptive Dynamic Programming; Fuzzy Neural Network; Gradient Temporal Difference; Mobile Robot; Model Order Reduction; Reinforcement Learning; Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Al-Dabooni, S. J. K. (n.d.). Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems. (Doctoral Dissertation). Missouri University of Science and Technology. Retrieved from https://scholarsmine.mst.edu/doctoral_dissertations/2657

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Al-Dabooni, Seaar Jawad Kadhim. “Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems.” Doctoral Dissertation, Missouri University of Science and Technology. Accessed August 08, 2020. https://scholarsmine.mst.edu/doctoral_dissertations/2657.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Al-Dabooni, Seaar Jawad Kadhim. “Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems.” Web. 08 Aug 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Al-Dabooni SJK. Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems. [Internet] [Doctoral dissertation]. Missouri University of Science and Technology; [cited 2020 Aug 08]. Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2657.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Al-Dabooni SJK. Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems. [Doctoral Dissertation]. Missouri University of Science and Technology; Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2657

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Missouri University of Science and Technology

29. Talaei, Behzad. Boundary control of parabolic PDE using adaptive dynamic programming.

Degree: PhD, Electrical Engineering, Missouri University of Science and Technology

  "In this dissertation, novel adaptive/approximate dynamic programming (ADP) based state and output feedback control methods are presented for distributed parameter systems (DPS) which are… (more)

Subjects/Keywords: Adaptive Dynamic Programming; Boundary Control; Optimal Control; Output Feedback; Parabolic PDE; Reaction Diffusion Equations; Electrical and Computer Engineering; Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Talaei, B. (n.d.). Boundary control of parabolic PDE using adaptive dynamic programming. (Doctoral Dissertation). Missouri University of Science and Technology. Retrieved from https://scholarsmine.mst.edu/doctoral_dissertations/2491

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Talaei, Behzad. “Boundary control of parabolic PDE using adaptive dynamic programming.” Doctoral Dissertation, Missouri University of Science and Technology. Accessed August 08, 2020. https://scholarsmine.mst.edu/doctoral_dissertations/2491.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Talaei, Behzad. “Boundary control of parabolic PDE using adaptive dynamic programming.” Web. 08 Aug 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Talaei B. Boundary control of parabolic PDE using adaptive dynamic programming. [Internet] [Doctoral dissertation]. Missouri University of Science and Technology; [cited 2020 Aug 08]. Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2491.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Talaei B. Boundary control of parabolic PDE using adaptive dynamic programming. [Doctoral Dissertation]. Missouri University of Science and Technology; Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2491

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Missouri University of Science and Technology

30. Heydari, Ali. Approximate dynamic programming based solutions for fixed-final-time optimal control and optimal switching.

Degree: PhD, Mechanical Engineering, Missouri University of Science and Technology

 "Optimal solutions with neural networks (NN) based on an approximate dynamic programming (ADP) framework for new classes of engineering and non-engineering problems and associated difficulties… (more)

Subjects/Keywords: Adaptive Critics; Approximate Dynamic Programming; Finite Horizon Control; Fixed-Final-Time Optimal Control; Neural Networks; Optimal Switching; Mechanical Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Heydari, A. (n.d.). Approximate dynamic programming based solutions for fixed-final-time optimal control and optimal switching. (Doctoral Dissertation). Missouri University of Science and Technology. Retrieved from https://scholarsmine.mst.edu/doctoral_dissertations/2501

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Heydari, Ali. “Approximate dynamic programming based solutions for fixed-final-time optimal control and optimal switching.” Doctoral Dissertation, Missouri University of Science and Technology. Accessed August 08, 2020. https://scholarsmine.mst.edu/doctoral_dissertations/2501.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Heydari, Ali. “Approximate dynamic programming based solutions for fixed-final-time optimal control and optimal switching.” Web. 08 Aug 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Heydari A. Approximate dynamic programming based solutions for fixed-final-time optimal control and optimal switching. [Internet] [Doctoral dissertation]. Missouri University of Science and Technology; [cited 2020 Aug 08]. Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2501.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Heydari A. Approximate dynamic programming based solutions for fixed-final-time optimal control and optimal switching. [Doctoral Dissertation]. Missouri University of Science and Technology; Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2501

Note: this citation may be lacking information needed for this citation format:
No year of publication.

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