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You searched for subject:(multiple model adaptive control). Showing records 1 – 30 of 94777 total matches.

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University of Southern California

1. Kuipers, Matthew. Multiple model adaptive control with mixing.

Degree: PhD, Electrical Engineering, 2009, University of Southern California

 Despite the remarkable theoretical accomplishments and successful applications of adaptive control, the field is not sufficiently mature to solve challenging control problems requiring strict performance… (more)

Subjects/Keywords: control theory; robust adaptive control; adaptive control; multiple model adaptive control; robust control; intelligent control

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

APA (6th Edition):

Kuipers, M. (2009). Multiple model adaptive control with mixing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/173607/rec/4273

Chicago Manual of Style (16th Edition):

Kuipers, Matthew. “Multiple model adaptive control with mixing.” 2009. Doctoral Dissertation, University of Southern California. Accessed July 23, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/173607/rec/4273.

MLA Handbook (7th Edition):

Kuipers, Matthew. “Multiple model adaptive control with mixing.” 2009. Web. 23 Jul 2019.

Vancouver:

Kuipers M. Multiple model adaptive control with mixing. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Jul 23]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/173607/rec/4273.

Council of Science Editors:

Kuipers M. Multiple model adaptive control with mixing. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/173607/rec/4273


Brno University of Technology

2. Sova, Václav. Adaptivní řízení elektromechanických aktuátorů s využitím dopředného kompenzátoru založeného na více-modelovém přístupu .

Degree: 2018, Brno University of Technology

 Tato dizertační práce se zabývá odvozením nového adaptivního dopředného kompenzátoru, který bude použit pro řízení elektromechanických aktuátorů používaných v automobilovém průmyslu. Jedná se o elektronickou… (more)

Subjects/Keywords: více-modelové řízení; adaptivní kompenzátor; kompozitní řízení; FPGA; derivátor; multiple model control; adaptive compenzator; composite control; FPGA; differentiator

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APA (6th Edition):

Sova, V. (2018). Adaptivní řízení elektromechanických aktuátorů s využitím dopředného kompenzátoru založeného na více-modelovém přístupu . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/137334

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):

Sova, Václav. “Adaptivní řízení elektromechanických aktuátorů s využitím dopředného kompenzátoru založeného na více-modelovém přístupu .” 2018. Thesis, Brno University of Technology. Accessed July 23, 2019. http://hdl.handle.net/11012/137334.

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

MLA Handbook (7th Edition):

Sova, Václav. “Adaptivní řízení elektromechanických aktuátorů s využitím dopředného kompenzátoru založeného na více-modelovém přístupu .” 2018. Web. 23 Jul 2019.

Vancouver:

Sova V. Adaptivní řízení elektromechanických aktuátorů s využitím dopředného kompenzátoru založeného na více-modelovém přístupu . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/11012/137334.

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

Council of Science Editors:

Sova V. Adaptivní řízení elektromechanických aktuátorů s využitím dopředného kompenzátoru založeného na více-modelovém přístupu . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/137334

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


University of Western Ontario

3. Mohsen, Edris Saleh. RealTime Implementation Of An Internal-Model-Principle Signal Identifier.

Degree: 2017, University of Western Ontario

 This thesis presents a new means approach of tuning an adaptive internal model principle based signal identification algorithm whose computational costs are low enough to… (more)

Subjects/Keywords: Internal model principle; frequency identification; adaptive multiple notch filters; periodic disturbance; instantaneous Fourier decomposition; Controls and Control Theory; Signal Processing

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APA (6th Edition):

Mohsen, E. S. (2017). RealTime Implementation Of An Internal-Model-Principle Signal Identifier. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5009

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):

Mohsen, Edris Saleh. “RealTime Implementation Of An Internal-Model-Principle Signal Identifier.” 2017. Thesis, University of Western Ontario. Accessed July 23, 2019. https://ir.lib.uwo.ca/etd/5009.

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

MLA Handbook (7th Edition):

Mohsen, Edris Saleh. “RealTime Implementation Of An Internal-Model-Principle Signal Identifier.” 2017. Web. 23 Jul 2019.

Vancouver:

Mohsen ES. RealTime Implementation Of An Internal-Model-Principle Signal Identifier. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2019 Jul 23]. Available from: https://ir.lib.uwo.ca/etd/5009.

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

Council of Science Editors:

Mohsen ES. RealTime Implementation Of An Internal-Model-Principle Signal Identifier. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/5009

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


Texas A&M University

4. Vedam, Narayani. Terrain-Adaptive Cruise Control: A Human-Like Approach.

Degree: 2015, Texas A&M University

 With rapid advancements in the ?eld of autonomous vehicles, intelligent control systems and automated highway systems, the need for GPS based vehicle data has grown… (more)

Subjects/Keywords: Terrain-Adaptive; Cruise Control; Model Predictive Control

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APA (6th Edition):

Vedam, N. (2015). Terrain-Adaptive Cruise Control: A Human-Like Approach. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156224

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):

Vedam, Narayani. “Terrain-Adaptive Cruise Control: A Human-Like Approach.” 2015. Thesis, Texas A&M University. Accessed July 23, 2019. http://hdl.handle.net/1969.1/156224.

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

MLA Handbook (7th Edition):

Vedam, Narayani. “Terrain-Adaptive Cruise Control: A Human-Like Approach.” 2015. Web. 23 Jul 2019.

Vancouver:

Vedam N. Terrain-Adaptive Cruise Control: A Human-Like Approach. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1969.1/156224.

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

Council of Science Editors:

Vedam N. Terrain-Adaptive Cruise Control: A Human-Like Approach. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156224

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


AUT University

5. Widiputra, Harya. Integrated multi-model framework for adaptive multiple time-series analysis and modelling .

Degree: 2011, AUT University

 The topic of time-series prediction has been very well researched in studies of dynamic systems. However, most studies in the field have focused more on… (more)

Subjects/Keywords: Multiple time-series; Adaptive; Global model; Local model; Transductive model; Prediction

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APA (6th Edition):

Widiputra, H. (2011). Integrated multi-model framework for adaptive multiple time-series analysis and modelling . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/2868

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):

Widiputra, Harya. “Integrated multi-model framework for adaptive multiple time-series analysis and modelling .” 2011. Thesis, AUT University. Accessed July 23, 2019. http://hdl.handle.net/10292/2868.

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

MLA Handbook (7th Edition):

Widiputra, Harya. “Integrated multi-model framework for adaptive multiple time-series analysis and modelling .” 2011. Web. 23 Jul 2019.

Vancouver:

Widiputra H. Integrated multi-model framework for adaptive multiple time-series analysis and modelling . [Internet] [Thesis]. AUT University; 2011. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10292/2868.

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

Council of Science Editors:

Widiputra H. Integrated multi-model framework for adaptive multiple time-series analysis and modelling . [Thesis]. AUT University; 2011. Available from: http://hdl.handle.net/10292/2868

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


University of Toledo

6. Kamalasadan, Sukumar. A New Generation of Adaptive Control: An Intelligent Supervisory Loop Approach.

Degree: PhD, Electrical Engineering, 2004, University of Toledo

 A new class of intelligent adaptive control for systems with complex and multimodal dynamics including scheduled and unscheduled ‘Jumps’, is developed. Those systems are often… (more)

Subjects/Keywords: Intelligent Adaptive Control; Intelligent Supervisory Loop Approach; Fuzzy Multiple Reference Model Adaptive Control; Neural Network Parallel Adaptive Control; Neural Network Parallel Fuzzy Adaptive Control

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APA (6th Edition):

Kamalasadan, S. (2004). A New Generation of Adaptive Control: An Intelligent Supervisory Loop Approach. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1087223752

Chicago Manual of Style (16th Edition):

Kamalasadan, Sukumar. “A New Generation of Adaptive Control: An Intelligent Supervisory Loop Approach.” 2004. Doctoral Dissertation, University of Toledo. Accessed July 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1087223752.

MLA Handbook (7th Edition):

Kamalasadan, Sukumar. “A New Generation of Adaptive Control: An Intelligent Supervisory Loop Approach.” 2004. Web. 23 Jul 2019.

Vancouver:

Kamalasadan S. A New Generation of Adaptive Control: An Intelligent Supervisory Loop Approach. [Internet] [Doctoral dissertation]. University of Toledo; 2004. [cited 2019 Jul 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1087223752.

Council of Science Editors:

Kamalasadan S. A New Generation of Adaptive Control: An Intelligent Supervisory Loop Approach. [Doctoral Dissertation]. University of Toledo; 2004. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1087223752


Oklahoma State University

7. Rajaram, Raul Pramod. Frequency Response of Web Systems Containing Load Cells and Dancers, Dimensional Analysis, and Model Reference Adaptive Schemes for Tension Control.

Degree: Mechanical & Aerospace Engineering, 2010, Oklahoma State University

 The focus of this study is onunderstanding the behavior of web tension using frequency responseanalysis and design of tension control systems for improvedtension regulation. Two… (more)

Subjects/Keywords: analysis; fequency response; model reference adaptive control

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APA (6th Edition):

Rajaram, R. P. (2010). Frequency Response of Web Systems Containing Load Cells and Dancers, Dimensional Analysis, and Model Reference Adaptive Schemes for Tension Control. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10043

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):

Rajaram, Raul Pramod. “Frequency Response of Web Systems Containing Load Cells and Dancers, Dimensional Analysis, and Model Reference Adaptive Schemes for Tension Control.” 2010. Thesis, Oklahoma State University. Accessed July 23, 2019. http://hdl.handle.net/11244/10043.

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

MLA Handbook (7th Edition):

Rajaram, Raul Pramod. “Frequency Response of Web Systems Containing Load Cells and Dancers, Dimensional Analysis, and Model Reference Adaptive Schemes for Tension Control.” 2010. Web. 23 Jul 2019.

Vancouver:

Rajaram RP. Frequency Response of Web Systems Containing Load Cells and Dancers, Dimensional Analysis, and Model Reference Adaptive Schemes for Tension Control. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/11244/10043.

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

Council of Science Editors:

Rajaram RP. Frequency Response of Web Systems Containing Load Cells and Dancers, Dimensional Analysis, and Model Reference Adaptive Schemes for Tension Control. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/10043

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


Case Western Reserve University

8. 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

 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 (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. 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. Accessed July 23, 2019. 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. 23 Jul 2019.

Vancouver:

Choi J. Closed-Loop Optimal Control of Discrete-Time Multiple Model Linear Systems with Unknown Parameters. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2016. [cited 2019 Jul 23]. 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; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1441178373


University of Texas – Austin

9. -9514-4936. Model reference adaptive control for nonminimum phase aerospace systems.

Degree: Aerospace Engineering, 2016, University of Texas – Austin

Adaptive control techniques are often avoided in aerospace systems due to stringent plant structural requirements and validation difficulties. This dissertation seeks to broaden the range… (more)

Subjects/Keywords: Model reference adaptive control; Nonminimum phase; Flight control

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APA (6th Edition):

-9514-4936. (2016). Model reference adaptive control for nonminimum phase aerospace systems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68549

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

Chicago Manual of Style (16th Edition):

-9514-4936. “Model reference adaptive control for nonminimum phase aerospace systems.” 2016. Thesis, University of Texas – Austin. Accessed July 23, 2019. http://hdl.handle.net/2152/68549.

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

MLA Handbook (7th Edition):

-9514-4936. “Model reference adaptive control for nonminimum phase aerospace systems.” 2016. Web. 23 Jul 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-9514-4936. Model reference adaptive control for nonminimum phase aerospace systems. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2152/68549.

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

Council of Science Editors:

-9514-4936. Model reference adaptive control for nonminimum phase aerospace systems. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/68549

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


Brigham Young University

10. Terry, Jonathan Spencer. Adaptive Control for Inflatable Soft Robotic Manipulators with Unknown Payloads.

Degree: MS, 2018, Brigham Young University

 Soft robotic platforms are becoming increasingly popular as they are generally safer, lighter, and easier to manufacture than their more rigid, heavy, traditional counterparts. These… (more)

Subjects/Keywords: inflatable; soft robot; optimal control; adaptive control; pneumatic actuation; model predictive control; Mechanical Engineering

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APA (6th Edition):

Terry, J. S. (2018). Adaptive Control for Inflatable Soft Robotic Manipulators with Unknown Payloads. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7769&context=etd

Chicago Manual of Style (16th Edition):

Terry, Jonathan Spencer. “Adaptive Control for Inflatable Soft Robotic Manipulators with Unknown Payloads.” 2018. Masters Thesis, Brigham Young University. Accessed July 23, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7769&context=etd.

MLA Handbook (7th Edition):

Terry, Jonathan Spencer. “Adaptive Control for Inflatable Soft Robotic Manipulators with Unknown Payloads.” 2018. Web. 23 Jul 2019.

Vancouver:

Terry JS. Adaptive Control for Inflatable Soft Robotic Manipulators with Unknown Payloads. [Internet] [Masters thesis]. Brigham Young University; 2018. [cited 2019 Jul 23]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7769&context=etd.

Council of Science Editors:

Terry JS. Adaptive Control for Inflatable Soft Robotic Manipulators with Unknown Payloads. [Masters Thesis]. Brigham Young University; 2018. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7769&context=etd


Virginia Tech

11. Ni, Lingli. Fault-Tolerant Control of Unmanned Underwater Vehicles.

Degree: PhD, Mechanical Engineering, 2001, Virginia Tech

 Unmanned Underwater Vehicles (UUVs) are widely used in commercial, scientific, and military missions for various purposes. What makes this technology challenging is the increasing mission… (more)

Subjects/Keywords: Kalman filters; adaptive LMS modeling and analysis; multiple-model sliding-mode control; fault detection and identification; control reconfiguration; unmanned underwater vehicles

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APA (6th Edition):

Ni, L. (2001). Fault-Tolerant Control of Unmanned Underwater Vehicles. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28187

Chicago Manual of Style (16th Edition):

Ni, Lingli. “Fault-Tolerant Control of Unmanned Underwater Vehicles.” 2001. Doctoral Dissertation, Virginia Tech. Accessed July 23, 2019. http://hdl.handle.net/10919/28187.

MLA Handbook (7th Edition):

Ni, Lingli. “Fault-Tolerant Control of Unmanned Underwater Vehicles.” 2001. Web. 23 Jul 2019.

Vancouver:

Ni L. Fault-Tolerant Control of Unmanned Underwater Vehicles. [Internet] [Doctoral dissertation]. Virginia Tech; 2001. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10919/28187.

Council of Science Editors:

Ni L. Fault-Tolerant Control of Unmanned Underwater Vehicles. [Doctoral Dissertation]. Virginia Tech; 2001. Available from: http://hdl.handle.net/10919/28187


University of Bradford

12. Al-Juboori, Ahmed O. A. S. Adaptive coded modulation classification and spectrum sensing for cognitive radio systems : adaptive coded modulation techniques for cognitive radio using Kalman filter and interacting multiple model methods.

Degree: PhD, 2018, University of Bradford

 The current and future trends of modern wireless communication systems place heavy demands on fast data transmissions in order to satisfy end users' requirements anytime,… (more)

Subjects/Keywords: Adaptive coded modulation; Automatic modulation classification; Spectrum sensing; Cognitive radio; Kalman filter; Interacting multiple model

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APA (6th Edition):

Al-Juboori, A. O. A. S. (2018). Adaptive coded modulation classification and spectrum sensing for cognitive radio systems : adaptive coded modulation techniques for cognitive radio using Kalman filter and interacting multiple model methods. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/16794

Chicago Manual of Style (16th Edition):

Al-Juboori, Ahmed O A S. “Adaptive coded modulation classification and spectrum sensing for cognitive radio systems : adaptive coded modulation techniques for cognitive radio using Kalman filter and interacting multiple model methods.” 2018. Doctoral Dissertation, University of Bradford. Accessed July 23, 2019. http://hdl.handle.net/10454/16794.

MLA Handbook (7th Edition):

Al-Juboori, Ahmed O A S. “Adaptive coded modulation classification and spectrum sensing for cognitive radio systems : adaptive coded modulation techniques for cognitive radio using Kalman filter and interacting multiple model methods.” 2018. Web. 23 Jul 2019.

Vancouver:

Al-Juboori AOAS. Adaptive coded modulation classification and spectrum sensing for cognitive radio systems : adaptive coded modulation techniques for cognitive radio using Kalman filter and interacting multiple model methods. [Internet] [Doctoral dissertation]. University of Bradford; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10454/16794.

Council of Science Editors:

Al-Juboori AOAS. Adaptive coded modulation classification and spectrum sensing for cognitive radio systems : adaptive coded modulation techniques for cognitive radio using Kalman filter and interacting multiple model methods. [Doctoral Dissertation]. University of Bradford; 2018. Available from: http://hdl.handle.net/10454/16794

13. Sofianos, Nikolaos. Development of adaptive fuzzy multiple models based control techniques for nonlinear systems.

Degree: 2018, Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ)

 In this thesis, some new architectures for the adaptive fuzzy control of uncertain dynamic nonlinear systems based on Takagi-Sugeno (T-S) multiple models are presented. The… (more)

Subjects/Keywords: Ασαφής προσαρμοστικός έλεγχος; Έλεγχος πολλαπλών μοντέλων; Εύρωστος έλεγχος; Fuzzy adaptive control; Multiple models control; Robust control

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APA (6th Edition):

Sofianos, N. (2018). Development of adaptive fuzzy multiple models based control techniques for nonlinear systems. (Thesis). Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/43729

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):

Sofianos, Nikolaos. “Development of adaptive fuzzy multiple models based control techniques for nonlinear systems.” 2018. Thesis, Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Accessed July 23, 2019. http://hdl.handle.net/10442/hedi/43729.

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

MLA Handbook (7th Edition):

Sofianos, Nikolaos. “Development of adaptive fuzzy multiple models based control techniques for nonlinear systems.” 2018. Web. 23 Jul 2019.

Vancouver:

Sofianos N. Development of adaptive fuzzy multiple models based control techniques for nonlinear systems. [Internet] [Thesis]. Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ); 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10442/hedi/43729.

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

Council of Science Editors:

Sofianos N. Development of adaptive fuzzy multiple models based control techniques for nonlinear systems. [Thesis]. Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ); 2018. Available from: http://hdl.handle.net/10442/hedi/43729

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


University of Illinois – Urbana-Champaign

14. Rancuret, Paul M. Robust adaptive control of induction machines using the L1 control scheme.

Degree: MS, 1200, 2011, University of Illinois – Urbana-Champaign

 In this thesis, a robust adaptive control scheme is proposed in order to drive an induction motor with high performance, even in the presence of… (more)

Subjects/Keywords: L1; L1 Adaptive Control; Model Reference Adaptive Control; Induction Motor Control; Induction Motor; Induction Motor Drive; L1 Control; Nonlinear Control; Adaptive; Control; Induction Motor; Adaptive Control Design; Motor Drive Application; L1 Controller; Motor Simulation; Robust Adaptive; Robust Control; Motor Saturation

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APA (6th Edition):

Rancuret, P. M. (2011). Robust adaptive control of induction machines using the L1 control scheme. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18423

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):

Rancuret, Paul M. “Robust adaptive control of induction machines using the L1 control scheme.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed July 23, 2019. http://hdl.handle.net/2142/18423.

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

MLA Handbook (7th Edition):

Rancuret, Paul M. “Robust adaptive control of induction machines using the L1 control scheme.” 2011. Web. 23 Jul 2019.

Vancouver:

Rancuret PM. Robust adaptive control of induction machines using the L1 control scheme. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2142/18423.

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

Council of Science Editors:

Rancuret PM. Robust adaptive control of induction machines using the L1 control scheme. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18423

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


Indian Institute of Science

15. Samantaray, Swastik. Robust Adaptive Control of a Laser Beam System for Static and Moving Targets.

Degree: 2016, Indian Institute of Science

 The motivation of this thesis is to propose a robust control technique for a laser beam system with target estimation. The laser beam is meant… (more)

Subjects/Keywords: Laser Beam System; Laser System; Adoptive Control Method; Optics Theory; Steering Mirror Modelling; Tracking Radars; Fine Correction; Robust Control; Model Reference Adaptive Control (MRAC),; Model Reference Adaptive Sliding Mode Control (MRASMC); Model Following Neuro-Adaptive Control (MFNAC); Robust Adaptive Control; Aerospace Engineering

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APA (6th Edition):

Samantaray, S. (2016). Robust Adaptive Control of a Laser Beam System for Static and Moving Targets. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/3204

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):

Samantaray, Swastik. “Robust Adaptive Control of a Laser Beam System for Static and Moving Targets.” 2016. Thesis, Indian Institute of Science. Accessed July 23, 2019. http://hdl.handle.net/2005/3204.

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

MLA Handbook (7th Edition):

Samantaray, Swastik. “Robust Adaptive Control of a Laser Beam System for Static and Moving Targets.” 2016. Web. 23 Jul 2019.

Vancouver:

Samantaray S. Robust Adaptive Control of a Laser Beam System for Static and Moving Targets. [Internet] [Thesis]. Indian Institute of Science; 2016. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2005/3204.

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

Council of Science Editors:

Samantaray S. Robust Adaptive Control of a Laser Beam System for Static and Moving Targets. [Thesis]. Indian Institute of Science; 2016. Available from: http://hdl.handle.net/2005/3204

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


University of Canterbury

16. Shamsudin, Syariful Syafiq. The Development of Neural Network Based System Identification and Adaptive Flight Control for an AutonomousHelicopter System.

Degree: Mechanical Engineering Department, 2013, University of Canterbury

 This thesis presents the development of self adaptive flight controller for an unmanned helicopter system under hovering manoeuvre. The neural network (NN) based model predictive… (more)

Subjects/Keywords: model predictive control; system identification; neural network; helicopter; adaptive flight controller

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APA (6th Edition):

Shamsudin, S. S. (2013). The Development of Neural Network Based System Identification and Adaptive Flight Control for an AutonomousHelicopter System. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/8803

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):

Shamsudin, Syariful Syafiq. “The Development of Neural Network Based System Identification and Adaptive Flight Control for an AutonomousHelicopter System.” 2013. Thesis, University of Canterbury. Accessed July 23, 2019. http://hdl.handle.net/10092/8803.

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

MLA Handbook (7th Edition):

Shamsudin, Syariful Syafiq. “The Development of Neural Network Based System Identification and Adaptive Flight Control for an AutonomousHelicopter System.” 2013. Web. 23 Jul 2019.

Vancouver:

Shamsudin SS. The Development of Neural Network Based System Identification and Adaptive Flight Control for an AutonomousHelicopter System. [Internet] [Thesis]. University of Canterbury; 2013. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10092/8803.

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

Council of Science Editors:

Shamsudin SS. The Development of Neural Network Based System Identification and Adaptive Flight Control for an AutonomousHelicopter System. [Thesis]. University of Canterbury; 2013. Available from: http://hdl.handle.net/10092/8803

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


Georgia Tech

17. Anderson, Brady. Adaptive control for modular vertical lift air vehicles.

Degree: MS, Mechanical Engineering, 2017, Georgia Tech

 Modular vertical lift air vehicles are comprised of individual vertical lift vehicles connected to a payload for the purposes of cooperative manipulation and transportation. This… (more)

Subjects/Keywords: Adaptive control

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APA (6th Edition):

Anderson, B. (2017). Adaptive control for modular vertical lift air vehicles. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59295

Chicago Manual of Style (16th Edition):

Anderson, Brady. “Adaptive control for modular vertical lift air vehicles.” 2017. Masters Thesis, Georgia Tech. Accessed July 23, 2019. http://hdl.handle.net/1853/59295.

MLA Handbook (7th Edition):

Anderson, Brady. “Adaptive control for modular vertical lift air vehicles.” 2017. Web. 23 Jul 2019.

Vancouver:

Anderson B. Adaptive control for modular vertical lift air vehicles. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1853/59295.

Council of Science Editors:

Anderson B. Adaptive control for modular vertical lift air vehicles. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59295

18. Paula, Neander Alessandro da Silva. MPC adaptativo - multimodelos para controle de sistemas não-lineares.

Degree: Mestrado, Engenharia Química, 2009, University of São Paulo

Durante a operação de um controlador MPC, a planta pode ir para outro ponto de operação principalmente pela decisão operacional ou pela presença de perturbações… (more)

Subjects/Keywords: Close loop identification; Controle adaptativo; Identificação de sistemas; Model predictive control; Multi-model control; Process adaptive control; Processos químicos

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APA (6th Edition):

Paula, N. A. d. S. (2009). MPC adaptativo - multimodelos para controle de sistemas não-lineares. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3137/tde-14052009-000836/ ;

Chicago Manual of Style (16th Edition):

Paula, Neander Alessandro da Silva. “MPC adaptativo - multimodelos para controle de sistemas não-lineares.” 2009. Masters Thesis, University of São Paulo. Accessed July 23, 2019. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-14052009-000836/ ;.

MLA Handbook (7th Edition):

Paula, Neander Alessandro da Silva. “MPC adaptativo - multimodelos para controle de sistemas não-lineares.” 2009. Web. 23 Jul 2019.

Vancouver:

Paula NAdS. MPC adaptativo - multimodelos para controle de sistemas não-lineares. [Internet] [Masters thesis]. University of São Paulo; 2009. [cited 2019 Jul 23]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3137/tde-14052009-000836/ ;.

Council of Science Editors:

Paula NAdS. MPC adaptativo - multimodelos para controle de sistemas não-lineares. [Masters Thesis]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/3/3137/tde-14052009-000836/ ;


Virginia Tech

19. Nguyen, Chuong Hoang. Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems.

Degree: PhD, Mechanical Engineering, 2016, Virginia Tech

 Functional Electrical Stimulation (FES) is a technique that applies electrical currents to nervous tissue in order to actively induce muscle contraction. Recent research has shown… (more)

Subjects/Keywords: Unknown system dynamics; non-model based control; model predictor; nonlinear MIMO systems; output feedback control; adaptive control.

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APA (6th Edition):

Nguyen, C. H. (2016). Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71312

Chicago Manual of Style (16th Edition):

Nguyen, Chuong Hoang. “Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems.” 2016. Doctoral Dissertation, Virginia Tech. Accessed July 23, 2019. http://hdl.handle.net/10919/71312.

MLA Handbook (7th Edition):

Nguyen, Chuong Hoang. “Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems.” 2016. Web. 23 Jul 2019.

Vancouver:

Nguyen CH. Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10919/71312.

Council of Science Editors:

Nguyen CH. Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71312


Delft University of Technology

20. Monteiro, D. Fault Detection and Isolation for Linear Dynamical Systems:.

Degree: 2015, Delft University of Technology

 Safety and reliability of a dynamical system is a concern that have always pursued designers in both academia and industry. Monitoring the health status of… (more)

Subjects/Keywords: multiple-model adaptive estimation; model-based fault diagnosis; robust H2 filters; state estimation in uncertain systems

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APA (6th Edition):

Monteiro, D. (2015). Fault Detection and Isolation for Linear Dynamical Systems:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4ea07ffc-6749-4ceb-95b8-448f779d87d5

Chicago Manual of Style (16th Edition):

Monteiro, D. “Fault Detection and Isolation for Linear Dynamical Systems:.” 2015. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:4ea07ffc-6749-4ceb-95b8-448f779d87d5.

MLA Handbook (7th Edition):

Monteiro, D. “Fault Detection and Isolation for Linear Dynamical Systems:.” 2015. Web. 23 Jul 2019.

Vancouver:

Monteiro D. Fault Detection and Isolation for Linear Dynamical Systems:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:4ea07ffc-6749-4ceb-95b8-448f779d87d5.

Council of Science Editors:

Monteiro D. Fault Detection and Isolation for Linear Dynamical Systems:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:4ea07ffc-6749-4ceb-95b8-448f779d87d5


University of Toledo

21. Wang, Xiaoru. Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm.

Degree: MSin Electrical Engineering, College of Engineering, 2011, University of Toledo

 This thesis first of all simulates previously developed F-16 flight surface control system using direct Model Reference Adaptive Control (MRAC). It simulates all three rotation… (more)

Subjects/Keywords: Electrical Engineering; Multi-core; F-16 Flight Surface Control; Model Reference Adaptive Control; Genetic Algorithm

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APA (6th Edition):

Wang, X. (2011). Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302130339

Chicago Manual of Style (16th Edition):

Wang, Xiaoru. “Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm.” 2011. Masters Thesis, University of Toledo. Accessed July 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302130339.

MLA Handbook (7th Edition):

Wang, Xiaoru. “Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm.” 2011. Web. 23 Jul 2019.

Vancouver:

Wang X. Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm. [Internet] [Masters thesis]. University of Toledo; 2011. [cited 2019 Jul 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302130339.

Council of Science Editors:

Wang X. Multi-Core Implementation of F-16 Flight Surface Control System Using GA Based Multiple Model Reference Adaptive Control Algorithm. [Masters Thesis]. University of Toledo; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302130339


NSYSU

22. Teng, Chiu-Ju. Design of model reference adaptive tracking controllers for uncertain dynamic systems.

Degree: Master, Electrical Engineering, 2000, NSYSU

 Based on Lyapunov theorem, two different types of control schemes for solving robust tracking problems are presented in this thesis. The first one is model(more)

Subjects/Keywords: tracking control; model reference; adaptive control

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APA (6th Edition):

Teng, C. (2000). Design of model reference adaptive tracking controllers for uncertain dynamic systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0623100-134649

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):

Teng, Chiu-Ju. “Design of model reference adaptive tracking controllers for uncertain dynamic systems.” 2000. Thesis, NSYSU. Accessed July 23, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0623100-134649.

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

MLA Handbook (7th Edition):

Teng, Chiu-Ju. “Design of model reference adaptive tracking controllers for uncertain dynamic systems.” 2000. Web. 23 Jul 2019.

Vancouver:

Teng C. Design of model reference adaptive tracking controllers for uncertain dynamic systems. [Internet] [Thesis]. NSYSU; 2000. [cited 2019 Jul 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0623100-134649.

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

Council of Science Editors:

Teng C. Design of model reference adaptive tracking controllers for uncertain dynamic systems. [Thesis]. NSYSU; 2000. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0623100-134649

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


NSYSU

23. Wu, Yi-Fen. Design of Model Reference Adaptive Tracking Controllers for Systems with Unstructured Uncertainties.

Degree: Master, Electrical Engineering, 2003, NSYSU

 Based on the Lyapunov stability theorem, a model reference adaptive variable structure control (MRAVSC) scheme with perturbation estimation is presented in this thesis for solving… (more)

Subjects/Keywords: Tracking Control; Adaptive Control; Model Reference

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APA (6th Edition):

Wu, Y. (2003). Design of Model Reference Adaptive Tracking Controllers for Systems with Unstructured Uncertainties. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108103-095451

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):

Wu, Yi-Fen. “Design of Model Reference Adaptive Tracking Controllers for Systems with Unstructured Uncertainties.” 2003. Thesis, NSYSU. Accessed July 23, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108103-095451.

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

MLA Handbook (7th Edition):

Wu, Yi-Fen. “Design of Model Reference Adaptive Tracking Controllers for Systems with Unstructured Uncertainties.” 2003. Web. 23 Jul 2019.

Vancouver:

Wu Y. Design of Model Reference Adaptive Tracking Controllers for Systems with Unstructured Uncertainties. [Internet] [Thesis]. NSYSU; 2003. [cited 2019 Jul 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108103-095451.

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

Council of Science Editors:

Wu Y. Design of Model Reference Adaptive Tracking Controllers for Systems with Unstructured Uncertainties. [Thesis]. NSYSU; 2003. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108103-095451

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


University of Waterloo

24. Tajeddin, Sadegh. Automatic Code Generation of Real-Time Nonlinear Model Predictive Control for Plug-in Hybrid Electric Vehicle Intelligent Cruise Controllers.

Degree: 2016, University of Waterloo

Control systems have always been a vital part of the novel technological advancements of human being in any industry, especially transportation. With the introduction of… (more)

Subjects/Keywords: Automatic Code Generation; Nonlinear Model Predictive Control; Adaptive Cruise Control; C/GMRES; Newton/GMRES

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APA (6th Edition):

Tajeddin, S. (2016). Automatic Code Generation of Real-Time Nonlinear Model Predictive Control for Plug-in Hybrid Electric Vehicle Intelligent Cruise Controllers. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10740

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):

Tajeddin, Sadegh. “Automatic Code Generation of Real-Time Nonlinear Model Predictive Control for Plug-in Hybrid Electric Vehicle Intelligent Cruise Controllers.” 2016. Thesis, University of Waterloo. Accessed July 23, 2019. http://hdl.handle.net/10012/10740.

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

MLA Handbook (7th Edition):

Tajeddin, Sadegh. “Automatic Code Generation of Real-Time Nonlinear Model Predictive Control for Plug-in Hybrid Electric Vehicle Intelligent Cruise Controllers.” 2016. Web. 23 Jul 2019.

Vancouver:

Tajeddin S. Automatic Code Generation of Real-Time Nonlinear Model Predictive Control for Plug-in Hybrid Electric Vehicle Intelligent Cruise Controllers. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10012/10740.

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

Council of Science Editors:

Tajeddin S. Automatic Code Generation of Real-Time Nonlinear Model Predictive Control for Plug-in Hybrid Electric Vehicle Intelligent Cruise Controllers. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10740

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


Université de Sherbrooke

25. Kandil, Mohamed Salah. Sliding mode control of active magnetic bearings with low losses : a model-free approach .

Degree: 2017, Université de Sherbrooke

 Abstract : Over the past three decades, various fields have witnessed a successful application of active magnetic bearing (AMB) systems. Their favorable features include supporting… (more)

Subjects/Keywords: Magnetic bearings; Sliding mode control; Adaptive backstepping control; Model-free control; Roulements magnétiques; Contrôle par mode de glissement; Contrôle backstepping adaptive; Model-libre contrôle

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APA (6th Edition):

Kandil, M. S. (2017). Sliding mode control of active magnetic bearings with low losses : a model-free approach . (Doctoral Dissertation). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/10166

Chicago Manual of Style (16th Edition):

Kandil, Mohamed Salah. “Sliding mode control of active magnetic bearings with low losses : a model-free approach .” 2017. Doctoral Dissertation, Université de Sherbrooke. Accessed July 23, 2019. http://hdl.handle.net/11143/10166.

MLA Handbook (7th Edition):

Kandil, Mohamed Salah. “Sliding mode control of active magnetic bearings with low losses : a model-free approach .” 2017. Web. 23 Jul 2019.

Vancouver:

Kandil MS. Sliding mode control of active magnetic bearings with low losses : a model-free approach . [Internet] [Doctoral dissertation]. Université de Sherbrooke; 2017. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/11143/10166.

Council of Science Editors:

Kandil MS. Sliding mode control of active magnetic bearings with low losses : a model-free approach . [Doctoral Dissertation]. Université de Sherbrooke; 2017. Available from: http://hdl.handle.net/11143/10166

26. Surampudi, Srinivasa Rao. Adaptive Slot Adaptive Frame Medium Access Control Protocol for Human Tracking; -.

Degree: Electrical and communication engineering, 2012, Jawaharlal Nehru Technological University, Hyderabad

Radio Frequency Identification (RFID) technology has a number of applications in day to day affairs, especially when security is of main concern. Human activity tracking… (more)

Subjects/Keywords: Access; Adaptive; Adaptive; Control; Protocol

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APA (6th Edition):

Surampudi, S. R. (2012). Adaptive Slot Adaptive Frame Medium Access Control Protocol for Human Tracking; -. (Thesis). Jawaharlal Nehru Technological University, Hyderabad. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/19022

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):

Surampudi, Srinivasa Rao. “Adaptive Slot Adaptive Frame Medium Access Control Protocol for Human Tracking; -.” 2012. Thesis, Jawaharlal Nehru Technological University, Hyderabad. Accessed July 23, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/19022.

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

MLA Handbook (7th Edition):

Surampudi, Srinivasa Rao. “Adaptive Slot Adaptive Frame Medium Access Control Protocol for Human Tracking; -.” 2012. Web. 23 Jul 2019.

Vancouver:

Surampudi SR. Adaptive Slot Adaptive Frame Medium Access Control Protocol for Human Tracking; -. [Internet] [Thesis]. Jawaharlal Nehru Technological University, Hyderabad; 2012. [cited 2019 Jul 23]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19022.

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

Council of Science Editors:

Surampudi SR. Adaptive Slot Adaptive Frame Medium Access Control Protocol for Human Tracking; -. [Thesis]. Jawaharlal Nehru Technological University, Hyderabad; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/19022

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


University of Illinois – Urbana-Champaign

27. Ralph, Matthew A. L1-Adaptive Control for Anesthesia Delivery.

Degree: MS, 3846, 2011, University of Illinois – Urbana-Champaign

 In this paper, we discuss the first application of recently developed L1-adaptive control methods for the closed-loop control of anesthesia delivery during surgery. Our initial… (more)

Subjects/Keywords: Adaptive Control; Anesthesia; L1 Adaptive

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APA (6th Edition):

Ralph, M. A. (2011). L1-Adaptive Control for Anesthesia Delivery. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18463

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):

Ralph, Matthew A. “L1-Adaptive Control for Anesthesia Delivery.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed July 23, 2019. http://hdl.handle.net/2142/18463.

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

MLA Handbook (7th Edition):

Ralph, Matthew A. “L1-Adaptive Control for Anesthesia Delivery.” 2011. Web. 23 Jul 2019.

Vancouver:

Ralph MA. L1-Adaptive Control for Anesthesia Delivery. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2142/18463.

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

Council of Science Editors:

Ralph MA. L1-Adaptive Control for Anesthesia Delivery. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18463

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


NSYSU

28. Chang, Chao-Chin. Design of Model Reference Adaptive Tracking Controllers for Mismatched Uncertain Dynamic Systems.

Degree: Master, Electrical Engineering, 2002, NSYSU

 Based on the Lyapunov stability theorem, an optimal model reference adaptive control (OMRAC) scheme with perturbation estimation is presented in this thesis to solve robust… (more)

Subjects/Keywords: model reference control; optimal control; adaptive control

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

APA (6th Edition):

Chang, C. (2002). Design of Model Reference Adaptive Tracking Controllers for Mismatched Uncertain Dynamic Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717102-151128

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):

Chang, Chao-Chin. “Design of Model Reference Adaptive Tracking Controllers for Mismatched Uncertain Dynamic Systems.” 2002. Thesis, NSYSU. Accessed July 23, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717102-151128.

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

MLA Handbook (7th Edition):

Chang, Chao-Chin. “Design of Model Reference Adaptive Tracking Controllers for Mismatched Uncertain Dynamic Systems.” 2002. Web. 23 Jul 2019.

Vancouver:

Chang C. Design of Model Reference Adaptive Tracking Controllers for Mismatched Uncertain Dynamic Systems. [Internet] [Thesis]. NSYSU; 2002. [cited 2019 Jul 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717102-151128.

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

Council of Science Editors:

Chang C. Design of Model Reference Adaptive Tracking Controllers for Mismatched Uncertain Dynamic Systems. [Thesis]. NSYSU; 2002. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717102-151128

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


University of Arizona

29. LaPointe, Jamie J. Adaptive Estimation Techniques for Resident Space Object Characterization .

Degree: 2016, University of Arizona

 This thesis investigates using adaptive estimation techniques to determine unknown model parameters such as size and surface material reflectivity, while estimating position, velocity, attitude, and… (more)

Subjects/Keywords: Mixture of Experts; Multiple Model Adaptive Estimation; Orbit Estimation; Resident Space Object; Unscented Kalman Filter; Hierarchical Mixture of Experts

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

APA (6th Edition):

LaPointe, J. J. (2016). Adaptive Estimation Techniques for Resident Space Object Characterization . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/623263

Chicago Manual of Style (16th Edition):

LaPointe, Jamie J. “Adaptive Estimation Techniques for Resident Space Object Characterization .” 2016. Masters Thesis, University of Arizona. Accessed July 23, 2019. http://hdl.handle.net/10150/623263.

MLA Handbook (7th Edition):

LaPointe, Jamie J. “Adaptive Estimation Techniques for Resident Space Object Characterization .” 2016. Web. 23 Jul 2019.

Vancouver:

LaPointe JJ. Adaptive Estimation Techniques for Resident Space Object Characterization . [Internet] [Masters thesis]. University of Arizona; 2016. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10150/623263.

Council of Science Editors:

LaPointe JJ. Adaptive Estimation Techniques for Resident Space Object Characterization . [Masters Thesis]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/623263


Boston University

30. Ghosh, Pranab Kumar. Design of adaptive multi-arm multi-stage clinical trials.

Degree: PhD, Biostatistics, 2018, Boston University

 Two-arm group sequential designs have been widely used for over forty years, especially for studies with mortality endpoints. The natural generalization of such designs to… (more)

Subjects/Keywords: Biostatistics; Adaptive design; Multi-arm; Multiple comparisons; Multi-stage; p-Value combination test; Strong control of type-1 error

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

APA (6th Edition):

Ghosh, P. K. (2018). Design of adaptive multi-arm multi-stage clinical trials. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/27546

Chicago Manual of Style (16th Edition):

Ghosh, Pranab Kumar. “Design of adaptive multi-arm multi-stage clinical trials.” 2018. Doctoral Dissertation, Boston University. Accessed July 23, 2019. http://hdl.handle.net/2144/27546.

MLA Handbook (7th Edition):

Ghosh, Pranab Kumar. “Design of adaptive multi-arm multi-stage clinical trials.” 2018. Web. 23 Jul 2019.

Vancouver:

Ghosh PK. Design of adaptive multi-arm multi-stage clinical trials. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2144/27546.

Council of Science Editors:

Ghosh PK. Design of adaptive multi-arm multi-stage clinical trials. [Doctoral Dissertation]. Boston University; 2018. Available from: http://hdl.handle.net/2144/27546

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