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You searched for subject:(dynamic state estimation). Showing records 1 – 30 of 47 total matches.

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Georgia Tech

1. Tan, Zhenyu. Dynamic state estimation based transmission line protection.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 This thesis proposed a dynamic state estimation based protection algorithm for the transmission line to 1) eliminate complex protection settings in order to prevent human… (more)

Subjects/Keywords: Dynamic state estimation; Protective relay

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APA (6th Edition):

Tan, Z. (2016). Dynamic state estimation based transmission line protection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56306

Chicago Manual of Style (16th Edition):

Tan, Zhenyu. “Dynamic state estimation based transmission line protection.” 2016. Doctoral Dissertation, Georgia Tech. Accessed October 16, 2019. http://hdl.handle.net/1853/56306.

MLA Handbook (7th Edition):

Tan, Zhenyu. “Dynamic state estimation based transmission line protection.” 2016. Web. 16 Oct 2019.

Vancouver:

Tan Z. Dynamic state estimation based transmission line protection. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1853/56306.

Council of Science Editors:

Tan Z. Dynamic state estimation based transmission line protection. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56306


University of Alberta

2. Karimipour, Hadis. Parallel Dynamic State Estimation of Large-scale Cyber-physical Power Systems.

Degree: PhD, Department of Electrical and Computer Engineering, 2016, University of Alberta

 Growing system size and complexity along with the large amount of data provided by phasor measurement units (PMUs) are the drivers for accurate state estimation(more)

Subjects/Keywords: Parallel Programming; GPU; Dynamic State Estimation

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APA (6th Edition):

Karimipour, H. (2016). Parallel Dynamic State Estimation of Large-scale Cyber-physical Power Systems. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/crv042t14w

Chicago Manual of Style (16th Edition):

Karimipour, Hadis. “Parallel Dynamic State Estimation of Large-scale Cyber-physical Power Systems.” 2016. Doctoral Dissertation, University of Alberta. Accessed October 16, 2019. https://era.library.ualberta.ca/files/crv042t14w.

MLA Handbook (7th Edition):

Karimipour, Hadis. “Parallel Dynamic State Estimation of Large-scale Cyber-physical Power Systems.” 2016. Web. 16 Oct 2019.

Vancouver:

Karimipour H. Parallel Dynamic State Estimation of Large-scale Cyber-physical Power Systems. [Internet] [Doctoral dissertation]. University of Alberta; 2016. [cited 2019 Oct 16]. Available from: https://era.library.ualberta.ca/files/crv042t14w.

Council of Science Editors:

Karimipour H. Parallel Dynamic State Estimation of Large-scale Cyber-physical Power Systems. [Doctoral Dissertation]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/crv042t14w


Georgia Tech

3. Fan, Rui. Transformer protection based on dynamic state estimation.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The objective of the proposed research is to detect transformer internal faults or transformer overheating and trip the transformer, with immunity to external faults for… (more)

Subjects/Keywords: Transformer protection; Dynamic state estimation; Internal fault

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APA (6th Edition):

Fan, R. (2016). Transformer protection based on dynamic state estimation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55659

Chicago Manual of Style (16th Edition):

Fan, Rui. “Transformer protection based on dynamic state estimation.” 2016. Doctoral Dissertation, Georgia Tech. Accessed October 16, 2019. http://hdl.handle.net/1853/55659.

MLA Handbook (7th Edition):

Fan, Rui. “Transformer protection based on dynamic state estimation.” 2016. Web. 16 Oct 2019.

Vancouver:

Fan R. Transformer protection based on dynamic state estimation. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1853/55659.

Council of Science Editors:

Fan R. Transformer protection based on dynamic state estimation. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55659


NSYSU

4. Huang, Shih-Che. Distribution System Modeling Based on Dynamic State Estimation.

Degree: Master, Electrical Engineering, 2013, NSYSU

 Distribution automation, demand response and advanced metering infrastructure (AMI) are three important elements of modern smart distribution grid. To achieve it, the real-time state estimate… (more)

Subjects/Keywords: Advanced Metering Infrastructure; smart distribution grid; Distribution State Estimation; Distribution Automation; dynamic state estimation

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APA (6th Edition):

Huang, S. (2013). Distribution System Modeling Based on Dynamic State Estimation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802113-141913

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, Shih-Che. “Distribution System Modeling Based on Dynamic State Estimation.” 2013. Thesis, NSYSU. Accessed October 16, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802113-141913.

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

MLA Handbook (7th Edition):

Huang, Shih-Che. “Distribution System Modeling Based on Dynamic State Estimation.” 2013. Web. 16 Oct 2019.

Vancouver:

Huang S. Distribution System Modeling Based on Dynamic State Estimation. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Oct 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802113-141913.

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

Council of Science Editors:

Huang S. Distribution System Modeling Based on Dynamic State Estimation. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802113-141913

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


Texas A&M University

5. Kumari, Deepika. A Data-driven Approach to Power System Dynamic State Estimation.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

State estimation is a key function in the supervisory control and planning of an electric power grid. Typically, the independent system operator (ISO) runs least-squares… (more)

Subjects/Keywords: Dynamic state estimation; Power systems; Unscented Kalman filter; Gaussian process

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APA (6th Edition):

Kumari, D. (2017). A Data-driven Approach to Power System Dynamic State Estimation. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166100

Chicago Manual of Style (16th Edition):

Kumari, Deepika. “A Data-driven Approach to Power System Dynamic State Estimation.” 2017. Masters Thesis, Texas A&M University. Accessed October 16, 2019. http://hdl.handle.net/1969.1/166100.

MLA Handbook (7th Edition):

Kumari, Deepika. “A Data-driven Approach to Power System Dynamic State Estimation.” 2017. Web. 16 Oct 2019.

Vancouver:

Kumari D. A Data-driven Approach to Power System Dynamic State Estimation. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1969.1/166100.

Council of Science Editors:

Kumari D. A Data-driven Approach to Power System Dynamic State Estimation. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166100


Northeastern University

6. Rouhani, Alireza. Robust dynamic state estimation in power systems.

Degree: PhD, Department of Electrical and Computer Engineering, 2017, Northeastern University

 The widespread deployment of Phasor Measurement Units (PMUs) on power systems has facilitated the real-time monitoring of the power systems dynamics. Dynamic State Estimators (DSEs)… (more)

Subjects/Keywords: dynamic loads; dynamic state estimation; observability analysis; parameter identification; power systems dynamics; synchronous generator

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APA (6th Edition):

Rouhani, A. (2017). Robust dynamic state estimation in power systems. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20249126

Chicago Manual of Style (16th Edition):

Rouhani, Alireza. “Robust dynamic state estimation in power systems.” 2017. Doctoral Dissertation, Northeastern University. Accessed October 16, 2019. http://hdl.handle.net/2047/D20249126.

MLA Handbook (7th Edition):

Rouhani, Alireza. “Robust dynamic state estimation in power systems.” 2017. Web. 16 Oct 2019.

Vancouver:

Rouhani A. Robust dynamic state estimation in power systems. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/2047/D20249126.

Council of Science Editors:

Rouhani A. Robust dynamic state estimation in power systems. [Doctoral Dissertation]. Northeastern University; 2017. Available from: http://hdl.handle.net/2047/D20249126


Delft University of Technology

7. Scholten, F.J.M. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:.

Degree: 2015, Delft University of Technology

 Traffic state estimations and predictions are essential parts for dynamic traffic management applications. This thesis consists of two parts: firstly the requirements for application of… (more)

Subjects/Keywords: traffic state estimation; Ensemble Kalman Filter; dynamic traffic management; traffic state prediction

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APA (6th Edition):

Scholten, F. J. M. (2015). Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969

Chicago Manual of Style (16th Edition):

Scholten, F J M. “Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:.” 2015. Masters Thesis, Delft University of Technology. Accessed October 16, 2019. http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969.

MLA Handbook (7th Edition):

Scholten, F J M. “Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:.” 2015. Web. 16 Oct 2019.

Vancouver:

Scholten FJM. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Oct 16]. Available from: http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969.

Council of Science Editors:

Scholten FJM. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969


University of Kansas

8. Satuluri, Muralidhar. Development of Effective & Accessible Approach to Analyze Unsteady State Plant Performance.

Degree: PhD, Chemical & Petroleum Engineering, 2011, University of Kansas

 Measurements from chemical processes contain error. They are reconciled with the process model to improve their accuracy. A method to reconcile unsteady state, i.e. time… (more)

Subjects/Keywords: Chemical engineering; Dynamic data reconciliation; Dynamic simulations; Parameter estimation; Plant performance analysis; State estimation; Wavelet denoising

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APA (6th Edition):

Satuluri, M. (2011). Development of Effective & Accessible Approach to Analyze Unsteady State Plant Performance. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/7655

Chicago Manual of Style (16th Edition):

Satuluri, Muralidhar. “Development of Effective & Accessible Approach to Analyze Unsteady State Plant Performance.” 2011. Doctoral Dissertation, University of Kansas. Accessed October 16, 2019. http://hdl.handle.net/1808/7655.

MLA Handbook (7th Edition):

Satuluri, Muralidhar. “Development of Effective & Accessible Approach to Analyze Unsteady State Plant Performance.” 2011. Web. 16 Oct 2019.

Vancouver:

Satuluri M. Development of Effective & Accessible Approach to Analyze Unsteady State Plant Performance. [Internet] [Doctoral dissertation]. University of Kansas; 2011. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1808/7655.

Council of Science Editors:

Satuluri M. Development of Effective & Accessible Approach to Analyze Unsteady State Plant Performance. [Doctoral Dissertation]. University of Kansas; 2011. Available from: http://hdl.handle.net/1808/7655


Louisiana State University

9. Singh, Akshay Nareshraj. State feedback control with time delay.

Degree: PhD, Mechanical Engineering, 2009, Louisiana State University

 In this thesis we start with an introduction to the theory of vibration control. We broadly classify the control methods into passive and active schemes.… (more)

Subjects/Keywords: time delay; state reconstruction; vibration; state feedback control; stability; state estimation; receptance; pole assignment; eigenstructure assignment; observer design; dynamic system

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APA (6th Edition):

Singh, A. N. (2009). State feedback control with time delay. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-06112009-075955 ; https://digitalcommons.lsu.edu/gradschool_dissertations/833

Chicago Manual of Style (16th Edition):

Singh, Akshay Nareshraj. “State feedback control with time delay.” 2009. Doctoral Dissertation, Louisiana State University. Accessed October 16, 2019. etd-06112009-075955 ; https://digitalcommons.lsu.edu/gradschool_dissertations/833.

MLA Handbook (7th Edition):

Singh, Akshay Nareshraj. “State feedback control with time delay.” 2009. Web. 16 Oct 2019.

Vancouver:

Singh AN. State feedback control with time delay. [Internet] [Doctoral dissertation]. Louisiana State University; 2009. [cited 2019 Oct 16]. Available from: etd-06112009-075955 ; https://digitalcommons.lsu.edu/gradschool_dissertations/833.

Council of Science Editors:

Singh AN. State feedback control with time delay. [Doctoral Dissertation]. Louisiana State University; 2009. Available from: etd-06112009-075955 ; https://digitalcommons.lsu.edu/gradschool_dissertations/833


University of Western Australia

10. Wagh, Sushama Rajaram. Robust WAM-based controller coordination of FACTS devices for power system transient stability enhancement.

Degree: PhD, 2011, University of Western Australia

[Truncated abstract] This thesis is devoted to the development of new schemes for transient stability enhancement using FACTS (flexible alternating current transmission system) devices, and… (more)

Subjects/Keywords: Dynamic state estimation; FACTS; Model Predictive Control (MPC); Online control coordination; Transient stability

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APA (6th Edition):

Wagh, S. R. (2011). Robust WAM-based controller coordination of FACTS devices for power system transient stability enhancement. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=33453&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Wagh, Sushama Rajaram. “Robust WAM-based controller coordination of FACTS devices for power system transient stability enhancement.” 2011. Doctoral Dissertation, University of Western Australia. Accessed October 16, 2019. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=33453&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Wagh, Sushama Rajaram. “Robust WAM-based controller coordination of FACTS devices for power system transient stability enhancement.” 2011. Web. 16 Oct 2019.

Vancouver:

Wagh SR. Robust WAM-based controller coordination of FACTS devices for power system transient stability enhancement. [Internet] [Doctoral dissertation]. University of Western Australia; 2011. [cited 2019 Oct 16]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=33453&local_base=GEN01-INS01.

Council of Science Editors:

Wagh SR. Robust WAM-based controller coordination of FACTS devices for power system transient stability enhancement. [Doctoral Dissertation]. University of Western Australia; 2011. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=33453&local_base=GEN01-INS01


Georgia Tech

11. Albinali, Hussain F. State estimation-based centralized substation protection scheme.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 Power systems are experiencing drastic changes with the introduction of renewable and customer-owned resources. These changes introduce new challenges in the protection, control, and operation… (more)

Subjects/Keywords: Centralized protection scheme; Dynamic state estimation; Hidden failures; Setting-less relay; Architecture

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APA (6th Edition):

Albinali, H. F. (2017). State estimation-based centralized substation protection scheme. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59191

Chicago Manual of Style (16th Edition):

Albinali, Hussain F. “State estimation-based centralized substation protection scheme.” 2017. Doctoral Dissertation, Georgia Tech. Accessed October 16, 2019. http://hdl.handle.net/1853/59191.

MLA Handbook (7th Edition):

Albinali, Hussain F. “State estimation-based centralized substation protection scheme.” 2017. Web. 16 Oct 2019.

Vancouver:

Albinali HF. State estimation-based centralized substation protection scheme. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1853/59191.

Council of Science Editors:

Albinali HF. State estimation-based centralized substation protection scheme. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59191


Virginia Tech

12. Zhao, Junbo. A Robust Dynamic State and Parameter Estimation Framework for Smart Grid Monitoring and Control.

Degree: PhD, Electrical Engineering, 2018, Virginia Tech

 The enhancement of the reliability, security, and resiliency of electric power systems depends on the availability of fast, accurate, and robust dynamic state estimators. These… (more)

Subjects/Keywords: Kalman filter; Robust statistics; Power system state estimation; Dynamic state estimation; Unscented transformation; Robust control theory; Estimation theory; Power system dynamics and control; Outliers; Cyber attacks; Phasor measurement units

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APA (6th Edition):

Zhao, J. (2018). A Robust Dynamic State and Parameter Estimation Framework for Smart Grid Monitoring and Control. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83423

Chicago Manual of Style (16th Edition):

Zhao, Junbo. “A Robust Dynamic State and Parameter Estimation Framework for Smart Grid Monitoring and Control.” 2018. Doctoral Dissertation, Virginia Tech. Accessed October 16, 2019. http://hdl.handle.net/10919/83423.

MLA Handbook (7th Edition):

Zhao, Junbo. “A Robust Dynamic State and Parameter Estimation Framework for Smart Grid Monitoring and Control.” 2018. Web. 16 Oct 2019.

Vancouver:

Zhao J. A Robust Dynamic State and Parameter Estimation Framework for Smart Grid Monitoring and Control. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/10919/83423.

Council of Science Editors:

Zhao J. A Robust Dynamic State and Parameter Estimation Framework for Smart Grid Monitoring and Control. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83423


Louisiana State University

13. Li, Rujun. Dynamic modeling and parameter estimation for an ethlyene-propylene-diene polymerization process.

Degree: PhD, Chemical Engineering, 2003, Louisiana State University

 <html> <head> <meta http-equiv="Content-Language" content="en-us"> <meta name="GENERATOR" content="Microsoft FrontPage 5.0"> <meta name="ProgId" content="FrontPage.Editor.Document"> <meta http-equiv="Content-Type" content="text/html; charset=windows-1252"> <title>New Page 1</title> </head> <body> A general dynamic(more)

Subjects/Keywords: EPDM; polymerization; state estimation; dynamic modeling; parameter estimation; crosslinking

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APA (6th Edition):

Li, R. (2003). Dynamic modeling and parameter estimation for an ethlyene-propylene-diene polymerization process. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-0702103-161717 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2655

Chicago Manual of Style (16th Edition):

Li, Rujun. “Dynamic modeling and parameter estimation for an ethlyene-propylene-diene polymerization process.” 2003. Doctoral Dissertation, Louisiana State University. Accessed October 16, 2019. etd-0702103-161717 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2655.

MLA Handbook (7th Edition):

Li, Rujun. “Dynamic modeling and parameter estimation for an ethlyene-propylene-diene polymerization process.” 2003. Web. 16 Oct 2019.

Vancouver:

Li R. Dynamic modeling and parameter estimation for an ethlyene-propylene-diene polymerization process. [Internet] [Doctoral dissertation]. Louisiana State University; 2003. [cited 2019 Oct 16]. Available from: etd-0702103-161717 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2655.

Council of Science Editors:

Li R. Dynamic modeling and parameter estimation for an ethlyene-propylene-diene polymerization process. [Doctoral Dissertation]. Louisiana State University; 2003. Available from: etd-0702103-161717 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2655


University of Manchester

14. Jin, Zhaoyang. Static and Dynamic State Estimation of Power Systems.

Degree: 2018, University of Manchester

 Power system state estimation has been playing a core part in the energy management system (EMS) utilised by power system operators since its establishment in… (more)

Subjects/Keywords: Cubature Kalman Filter; convergence property; dynamic state estimation; estimation accuracy; Extended Kalman Filter; hybrid state estimation; observability analysis; observable islands; optimal PMU placement; PMU; synchronised measurements; state estimation; Unscented Kalman Filter

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APA (6th Edition):

Jin, Z. (2018). Static and Dynamic State Estimation of Power Systems. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314416

Chicago Manual of Style (16th Edition):

Jin, Zhaoyang. “Static and Dynamic State Estimation of Power Systems.” 2018. Doctoral Dissertation, University of Manchester. Accessed October 16, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314416.

MLA Handbook (7th Edition):

Jin, Zhaoyang. “Static and Dynamic State Estimation of Power Systems.” 2018. Web. 16 Oct 2019.

Vancouver:

Jin Z. Static and Dynamic State Estimation of Power Systems. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Oct 16]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314416.

Council of Science Editors:

Jin Z. Static and Dynamic State Estimation of Power Systems. [Doctoral Dissertation]. University of Manchester; 2018. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314416


University of Manchester

15. Jin, Zhaoyang. Static and dynamic state estimation of power systems.

Degree: PhD, 2018, University of Manchester

 Power system state estimation has been playing a core part in the energy management system (EMS) utilised by power system operators since its establishment in… (more)

Subjects/Keywords: Unscented Kalman Filter; state estimation; synchronised measurements; optimal PMU placement; observable islands; observability analysis; PMU; Extended Kalman Filter; estimation accuracy; dynamic state estimation; convergence property; Cubature Kalman Filter; hybrid state estimation

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APA (6th Edition):

Jin, Z. (2018). Static and dynamic state estimation of power systems. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/static-and-dynamic-state-estimation-of-power-systems(13b88285-a242-4de8-bf44-99252174fd6f).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779589

Chicago Manual of Style (16th Edition):

Jin, Zhaoyang. “Static and dynamic state estimation of power systems.” 2018. Doctoral Dissertation, University of Manchester. Accessed October 16, 2019. https://www.research.manchester.ac.uk/portal/en/theses/static-and-dynamic-state-estimation-of-power-systems(13b88285-a242-4de8-bf44-99252174fd6f).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779589.

MLA Handbook (7th Edition):

Jin, Zhaoyang. “Static and dynamic state estimation of power systems.” 2018. Web. 16 Oct 2019.

Vancouver:

Jin Z. Static and dynamic state estimation of power systems. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Oct 16]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/static-and-dynamic-state-estimation-of-power-systems(13b88285-a242-4de8-bf44-99252174fd6f).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779589.

Council of Science Editors:

Jin Z. Static and dynamic state estimation of power systems. [Doctoral Dissertation]. University of Manchester; 2018. Available from: https://www.research.manchester.ac.uk/portal/en/theses/static-and-dynamic-state-estimation-of-power-systems(13b88285-a242-4de8-bf44-99252174fd6f).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779589


University of Colorado

16. Sweet, Nicholas. Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction.

Degree: MS, Aerospace Engineering Sciences, 2016, University of Colorado

 Autonomous systems, particularly unmanned aerial systems (UAS), remain limited in autonomous capabilities largely due to a poor understanding of their environment. Current sensors simply do… (more)

Subjects/Keywords: Data fusion; Dynamic state estimation; Human-robot interaction; Human sensor modeling; Natural language processing; Soft data; Aerospace Engineering; Engineering; Robotics

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APA (6th Edition):

Sweet, N. (2016). Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction. (Masters Thesis). University of Colorado. Retrieved from http://scholar.colorado.edu/asen_gradetds/151

Chicago Manual of Style (16th Edition):

Sweet, Nicholas. “Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction.” 2016. Masters Thesis, University of Colorado. Accessed October 16, 2019. http://scholar.colorado.edu/asen_gradetds/151.

MLA Handbook (7th Edition):

Sweet, Nicholas. “Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction.” 2016. Web. 16 Oct 2019.

Vancouver:

Sweet N. Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction. [Internet] [Masters thesis]. University of Colorado; 2016. [cited 2019 Oct 16]. Available from: http://scholar.colorado.edu/asen_gradetds/151.

Council of Science Editors:

Sweet N. Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction. [Masters Thesis]. University of Colorado; 2016. Available from: http://scholar.colorado.edu/asen_gradetds/151


University of Pretoria

17. Naidoo, Myrin Anand. Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit.

Degree: Electrical, Electronic and Computer Engineering, 2015, University of Pretoria

 A run-of-mine ore milling circuit is primarily used to grind incoming ore containing precious metals to a particle size smaller than a specification size. A… (more)

Subjects/Keywords: Model predictive control; Dynamic inversion; grinding mill; Particle filter; Run-of-mine; State estimation; Neural network; UCTD

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APA (6th Edition):

Naidoo, M. A. (2015). Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/44240

Chicago Manual of Style (16th Edition):

Naidoo, Myrin Anand. “Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit.” 2015. Masters Thesis, University of Pretoria. Accessed October 16, 2019. http://hdl.handle.net/2263/44240.

MLA Handbook (7th Edition):

Naidoo, Myrin Anand. “Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit.” 2015. Web. 16 Oct 2019.

Vancouver:

Naidoo MA. Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit. [Internet] [Masters thesis]. University of Pretoria; 2015. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/2263/44240.

Council of Science Editors:

Naidoo MA. Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit. [Masters Thesis]. University of Pretoria; 2015. Available from: http://hdl.handle.net/2263/44240

18. Rahman, Md Ashfaqur. A Distributed Dynamic State Estimator Using Cellular Computational Network.

Degree: PhD, Electrical Engineering, 2017, Clemson University

 The proper operation of smart grid largely depends on the proper monitoring of the system. State estimation is a core computation process of the monitoring… (more)

Subjects/Keywords: Cellular computational network; Distributed; Dynamic; State estimation

…work is done on distributed state estimation [24]. 1.1.1 Dynamic Estimation… …system. To serve the purposes, a predictive dynamic state estimation is developed with the help… …In [32], the authors decentralized the dynamic state estimation using unscented… …estimator [33] will also be investigated. 2.2.4 Dynamic State Estimation As mentioned… …earlier, the dynamic estimation is also proposed in the same year state estimation was proposed… 

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APA (6th Edition):

Rahman, M. A. (2017). A Distributed Dynamic State Estimator Using Cellular Computational Network. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1934

Chicago Manual of Style (16th Edition):

Rahman, Md Ashfaqur. “A Distributed Dynamic State Estimator Using Cellular Computational Network.” 2017. Doctoral Dissertation, Clemson University. Accessed October 16, 2019. https://tigerprints.clemson.edu/all_dissertations/1934.

MLA Handbook (7th Edition):

Rahman, Md Ashfaqur. “A Distributed Dynamic State Estimator Using Cellular Computational Network.” 2017. Web. 16 Oct 2019.

Vancouver:

Rahman MA. A Distributed Dynamic State Estimator Using Cellular Computational Network. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2019 Oct 16]. Available from: https://tigerprints.clemson.edu/all_dissertations/1934.

Council of Science Editors:

Rahman MA. A Distributed Dynamic State Estimator Using Cellular Computational Network. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/1934


INP Toulouse

19. Xiong, Jun. Set-membership state estimation and application on fault detection : Estimations ensemblistes des états et application à la détection.

Degree: Docteur es, Systèmes automatiques, 2013, INP Toulouse

La modélisation des systèmes dynamiques requiert la prise en compte d’incertitudes liées à l’existence inévitable de bruits (bruits de mesure, bruits sur la dynamique), à… (more)

Subjects/Keywords: Analyse par intervalles; Filtrage de Kalman; Détection de défauts; State estimation; Linear model; Constraint satisfaction problems; Uncertain dynamic systems

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APA (6th Edition):

Xiong, J. (2013). Set-membership state estimation and application on fault detection : Estimations ensemblistes des états et application à la détection. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2013INPT0001

Chicago Manual of Style (16th Edition):

Xiong, Jun. “Set-membership state estimation and application on fault detection : Estimations ensemblistes des états et application à la détection.” 2013. Doctoral Dissertation, INP Toulouse. Accessed October 16, 2019. http://www.theses.fr/2013INPT0001.

MLA Handbook (7th Edition):

Xiong, Jun. “Set-membership state estimation and application on fault detection : Estimations ensemblistes des états et application à la détection.” 2013. Web. 16 Oct 2019.

Vancouver:

Xiong J. Set-membership state estimation and application on fault detection : Estimations ensemblistes des états et application à la détection. [Internet] [Doctoral dissertation]. INP Toulouse; 2013. [cited 2019 Oct 16]. Available from: http://www.theses.fr/2013INPT0001.

Council of Science Editors:

Xiong J. Set-membership state estimation and application on fault detection : Estimations ensemblistes des états et application à la détection. [Doctoral Dissertation]. INP Toulouse; 2013. Available from: http://www.theses.fr/2013INPT0001


McMaster University

20. Marami, Bahram. Elastic Registration of Medical Images Using Generic Dynamic Deformation Models.

Degree: PhD, 2013, McMaster University

This thesis presents a family of automatic elastic registration methods applicable to single and multimodal images of similar or dissimilar dimensions. These registration algorithms… (more)

Subjects/Keywords: image registration; finite element modeling; deformable registration; state estimation; magnetic resonance imaging; ultrasound imaging; dynamic deformation tracking; Biomedical; Biomedical

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APA (6th Edition):

Marami, B. (2013). Elastic Registration of Medical Images Using Generic Dynamic Deformation Models. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/13446

Chicago Manual of Style (16th Edition):

Marami, Bahram. “Elastic Registration of Medical Images Using Generic Dynamic Deformation Models.” 2013. Doctoral Dissertation, McMaster University. Accessed October 16, 2019. http://hdl.handle.net/11375/13446.

MLA Handbook (7th Edition):

Marami, Bahram. “Elastic Registration of Medical Images Using Generic Dynamic Deformation Models.” 2013. Web. 16 Oct 2019.

Vancouver:

Marami B. Elastic Registration of Medical Images Using Generic Dynamic Deformation Models. [Internet] [Doctoral dissertation]. McMaster University; 2013. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/11375/13446.

Council of Science Editors:

Marami B. Elastic Registration of Medical Images Using Generic Dynamic Deformation Models. [Doctoral Dissertation]. McMaster University; 2013. Available from: http://hdl.handle.net/11375/13446


Northeastern University

21. Rouhani, Alireza. Robust dynamic state estimator accounting for load changes.

Degree: MS, Department of Electrical and Computer Engineering, 2013, Northeastern University

 Load models are commonly approximated by fixed impedance type loads when formulating dynamic simulations. This is an acceptable approximation when using dynamic simulation for a… (more)

Subjects/Keywords: load changes; dynamic state estimation; energy management systems; Electrical and Computer Engineering; Engineering; Power and Energy

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APA (6th Edition):

Rouhani, A. (2013). Robust dynamic state estimator accounting for load changes. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20003356

Chicago Manual of Style (16th Edition):

Rouhani, Alireza. “Robust dynamic state estimator accounting for load changes.” 2013. Masters Thesis, Northeastern University. Accessed October 16, 2019. http://hdl.handle.net/2047/d20003356.

MLA Handbook (7th Edition):

Rouhani, Alireza. “Robust dynamic state estimator accounting for load changes.” 2013. Web. 16 Oct 2019.

Vancouver:

Rouhani A. Robust dynamic state estimator accounting for load changes. [Internet] [Masters thesis]. Northeastern University; 2013. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/2047/d20003356.

Council of Science Editors:

Rouhani A. Robust dynamic state estimator accounting for load changes. [Masters Thesis]. Northeastern University; 2013. Available from: http://hdl.handle.net/2047/d20003356

22. Sun, Liangyi. Protection of synchronous generators and induction generators.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 The objective of this research is to develop a novel protective function, which is named EBP (dynamic state Estimation Based Protection) that can protect the… (more)

Subjects/Keywords: Generator protection; Dynamic state estimation; Generator parameter estimation

…98 Figure 9.8. Dynamic State Estimation with Generator Provided Parameters............ 99… …Figure 9.9. Dynamic State Estimation with Generator Provided Parameters – Zoomed-In View, [… …100 Figure 9.10. Dynamic State Estimation with Generator Provided Parameters – Zoomed-In… …101 Figure 9.11. Dynamic State Estimation with Tuned Generator Parameters ............ 103… …Figure 9.12. Dynamic State Estimation with Tuned Generator Parameters – ZoomedIn View, [… 

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APA (6th Edition):

Sun, L. (2017). Protection of synchronous generators and induction generators. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58628

Chicago Manual of Style (16th Edition):

Sun, Liangyi. “Protection of synchronous generators and induction generators.” 2017. Doctoral Dissertation, Georgia Tech. Accessed October 16, 2019. http://hdl.handle.net/1853/58628.

MLA Handbook (7th Edition):

Sun, Liangyi. “Protection of synchronous generators and induction generators.” 2017. Web. 16 Oct 2019.

Vancouver:

Sun L. Protection of synchronous generators and induction generators. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1853/58628.

Council of Science Editors:

Sun L. Protection of synchronous generators and induction generators. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58628


University of Florida

23. Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Notions of optimal behavior expressed in natural systems led researchers to develop reinforcement learning (RL) as a computational tool in machine learning to learn actions… (more)

Subjects/Keywords: Approximation; Human error; Identifiers; Learning modalities; Machine learning; Neural networks; Optimal control; Signals; State estimation; Statistical estimation; adaptive  – approximate  – control  – dynamic  – learning  – neural  – nonlinear  – optimal  – reinforcement

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APA (6th Edition):

Bhasin,Shubhendu. (2011). Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042825

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

Chicago Manual of Style (16th Edition):

Bhasin,Shubhendu. “Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.” 2011. Doctoral Dissertation, University of Florida. Accessed October 16, 2019. http://ufdc.ufl.edu/UFE0042825.

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

MLA Handbook (7th Edition):

Bhasin,Shubhendu. “Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.” 2011. Web. 16 Oct 2019.

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

Vancouver:

Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 16]. Available from: http://ufdc.ufl.edu/UFE0042825.

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

Council of Science Editors:

Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042825

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


Loughborough University

24. Schaal, Peter. Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method.

Degree: PhD, 2018, Loughborough University

 Characterisation of modern complex powertrains is a time consuming and expensive process. Little effort has been made to improve the efficiency of testing methodologies used… (more)

Subjects/Keywords: Air-path observer; Rapid engine characterisation; Dynamic/transient engine testing; Test time reduction; Joint state and parameter estimation; Unknown input estimation; Mean value engine model; 1-D engine model; Dynamic compensation; Dual-ramp averaging

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APA (6th Edition):

Schaal, P. (2018). Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/33247 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747972

Chicago Manual of Style (16th Edition):

Schaal, Peter. “Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method.” 2018. Doctoral Dissertation, Loughborough University. Accessed October 16, 2019. https://dspace.lboro.ac.uk/2134/33247 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747972.

MLA Handbook (7th Edition):

Schaal, Peter. “Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method.” 2018. Web. 16 Oct 2019.

Vancouver:

Schaal P. Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2019 Oct 16]. Available from: https://dspace.lboro.ac.uk/2134/33247 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747972.

Council of Science Editors:

Schaal P. Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method. [Doctoral Dissertation]. Loughborough University; 2018. Available from: https://dspace.lboro.ac.uk/2134/33247 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747972


Loughborough University

25. Schaal, Peter. Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method.

Degree: PhD, 2018, Loughborough University

 Characterisation of modern complex powertrains is a time consuming and expensive process. Little effort has been made to improve the efficiency of testing methodologies used… (more)

Subjects/Keywords: Air-path observer; Rapid engine characterisation; Dynamic/transient engine testing; Test time reduction; Joint state and parameter estimation; Unknown input estimation; Mean value engine model; 1-D engine model; Dynamic compensation; Dual-ramp averaging

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APA (6th Edition):

Schaal, P. (2018). Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/33247

Chicago Manual of Style (16th Edition):

Schaal, Peter. “Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method.” 2018. Doctoral Dissertation, Loughborough University. Accessed October 16, 2019. http://hdl.handle.net/2134/33247.

MLA Handbook (7th Edition):

Schaal, Peter. “Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method.” 2018. Web. 16 Oct 2019.

Vancouver:

Schaal P. Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/2134/33247.

Council of Science Editors:

Schaal P. Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method. [Doctoral Dissertation]. Loughborough University; 2018. Available from: http://hdl.handle.net/2134/33247


Brigham Young University

26. Remund, Todd Gordon. A Naive, Robust and Stable State Estimate.

Degree: MS, 2008, Brigham Young University

 A naive approach to filtering for feedback control of dynamic systems that is robust and stable is proposed. Simulations are run on the filters presented… (more)

Subjects/Keywords: Kalman; Krein; feedback control; state estimation; filter; dynamic system; robust state estimation; robust; EWMA; bias correction; Statistics and Probability

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APA (6th Edition):

Remund, T. G. (2008). A Naive, Robust and Stable State Estimate. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2423&context=etd

Chicago Manual of Style (16th Edition):

Remund, Todd Gordon. “A Naive, Robust and Stable State Estimate.” 2008. Masters Thesis, Brigham Young University. Accessed October 16, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2423&context=etd.

MLA Handbook (7th Edition):

Remund, Todd Gordon. “A Naive, Robust and Stable State Estimate.” 2008. Web. 16 Oct 2019.

Vancouver:

Remund TG. A Naive, Robust and Stable State Estimate. [Internet] [Masters thesis]. Brigham Young University; 2008. [cited 2019 Oct 16]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2423&context=etd.

Council of Science Editors:

Remund TG. A Naive, Robust and Stable State Estimate. [Masters Thesis]. Brigham Young University; 2008. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2423&context=etd

27. Majidi, Mohammad Hassan. Bayesian estimation of discrete signals with local dependencies. : Estimation bayésienne de signaux discrets à dépendances locales.

Degree: Docteur es, Télécommunications (STIC), 2014, Supélec

L'objectif de cette thèse est d'étudier le problème de la détection de données dans le système de communication sans fil, à la fois pour le… (more)

Subjects/Keywords: Egaliseur Itératif; L'Algorithme EM; L'Approche de Continuation; Estimation Conjointe de Données et du Canal; Le Filtrage de Kalman; Estimation des Canaux Dynamiques Linéaires; Estimation des Canaux Dynamiques Non-Linéaires; Modèle à Commutation d'Espace- État; Iterative Equalizer; The EM Algorithm; The Continuation Approach; Joint channel and data estimation; The Kalman Filtering; Linear Dynamic Channel Estimation; Non-Linear Dynamic Channel Estimation; Switching State-Space Model; 378.242

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APA (6th Edition):

Majidi, M. H. (2014). Bayesian estimation of discrete signals with local dependencies. : Estimation bayésienne de signaux discrets à dépendances locales. (Doctoral Dissertation). Supélec. Retrieved from http://www.theses.fr/2014SUPL0014

Chicago Manual of Style (16th Edition):

Majidi, Mohammad Hassan. “Bayesian estimation of discrete signals with local dependencies. : Estimation bayésienne de signaux discrets à dépendances locales.” 2014. Doctoral Dissertation, Supélec. Accessed October 16, 2019. http://www.theses.fr/2014SUPL0014.

MLA Handbook (7th Edition):

Majidi, Mohammad Hassan. “Bayesian estimation of discrete signals with local dependencies. : Estimation bayésienne de signaux discrets à dépendances locales.” 2014. Web. 16 Oct 2019.

Vancouver:

Majidi MH. Bayesian estimation of discrete signals with local dependencies. : Estimation bayésienne de signaux discrets à dépendances locales. [Internet] [Doctoral dissertation]. Supélec; 2014. [cited 2019 Oct 16]. Available from: http://www.theses.fr/2014SUPL0014.

Council of Science Editors:

Majidi MH. Bayesian estimation of discrete signals with local dependencies. : Estimation bayésienne de signaux discrets à dépendances locales. [Doctoral Dissertation]. Supélec; 2014. Available from: http://www.theses.fr/2014SUPL0014

28. Lee, Yong Hee. A comprehensive protection scheme for distribution systems.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 The objective of the research is to formulate and demonstrate protection schemes for radial and loop systems, an active distribution system, and a microgrid. The… (more)

Subjects/Keywords: Recloser; Sectionalizer; Microgrid; Protection; Dynamic state estimation; Active distribution system

Estimation • DSE: Dynamic State Estimation • VIT: Voltage, Current, and Time • NVC: No… …synchronized measurements. The proposed method uses dynamic state estimation, based on the dynamic… …as the loading and thermal state of the component. The dynamic state estimation is used to… …protection coordination. A new fault detection scheme, dynamic state estimation-based protection… …method uses dynamic state estimation, based on the dynamic model of the component that… 

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APA (6th Edition):

Lee, Y. H. (2014). A comprehensive protection scheme for distribution systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53070

Chicago Manual of Style (16th Edition):

Lee, Yong Hee. “A comprehensive protection scheme for distribution systems.” 2014. Doctoral Dissertation, Georgia Tech. Accessed October 16, 2019. http://hdl.handle.net/1853/53070.

MLA Handbook (7th Edition):

Lee, Yong Hee. “A comprehensive protection scheme for distribution systems.” 2014. Web. 16 Oct 2019.

Vancouver:

Lee YH. A comprehensive protection scheme for distribution systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1853/53070.

Council of Science Editors:

Lee YH. A comprehensive protection scheme for distribution systems. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53070


Queensland University of Technology

29. Vahidnia, Arash. Wide area control through aggregation of power systems.

Degree: 2013, Queensland University of Technology

 This thesis was a step forward in improving the stability of power systems by applying new control and modelling techniques. The developed methods use the… (more)

Subjects/Keywords: Aggregation of Power Systems; Dynamic Reduction; FACTS Devices; Generator Coherency; Inter-area Oscillations; Kalman Filter; Phasor Measurement Units; Power System Stability; State Estimation; Wide-area Control

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APA (6th Edition):

Vahidnia, A. (2013). Wide area control through aggregation of power systems. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/61186/

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):

Vahidnia, Arash. “Wide area control through aggregation of power systems.” 2013. Thesis, Queensland University of Technology. Accessed October 16, 2019. https://eprints.qut.edu.au/61186/.

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

MLA Handbook (7th Edition):

Vahidnia, Arash. “Wide area control through aggregation of power systems.” 2013. Web. 16 Oct 2019.

Vancouver:

Vahidnia A. Wide area control through aggregation of power systems. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2019 Oct 16]. Available from: https://eprints.qut.edu.au/61186/.

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

Council of Science Editors:

Vahidnia A. Wide area control through aggregation of power systems. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/61186/

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

30. Yuan, Y. Lagrangian Multi-Class Traffic State Estimation.

Degree: 2013, TRAIL Research School

 Road traffic is important to everybody in the world. People travel and commute everyday. For those who travel by cars (or other types of road… (more)

Subjects/Keywords: traffic state estimation; Lagrangian coordinates; multi-class modelling; dynamic traffic management

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APA (6th Edition):

Yuan, Y. (2013). Lagrangian Multi-Class Traffic State Estimation. (Doctoral Dissertation). TRAIL Research School. Retrieved from http://resolver.tudelft.nl/uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; urn:NBN:nl:ui:24-uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; urn:NBN:nl:ui:24-uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; http://resolver.tudelft.nl/uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba

Chicago Manual of Style (16th Edition):

Yuan, Y. “Lagrangian Multi-Class Traffic State Estimation.” 2013. Doctoral Dissertation, TRAIL Research School. Accessed October 16, 2019. http://resolver.tudelft.nl/uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; urn:NBN:nl:ui:24-uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; urn:NBN:nl:ui:24-uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; http://resolver.tudelft.nl/uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba.

MLA Handbook (7th Edition):

Yuan, Y. “Lagrangian Multi-Class Traffic State Estimation.” 2013. Web. 16 Oct 2019.

Vancouver:

Yuan Y. Lagrangian Multi-Class Traffic State Estimation. [Internet] [Doctoral dissertation]. TRAIL Research School; 2013. [cited 2019 Oct 16]. Available from: http://resolver.tudelft.nl/uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; urn:NBN:nl:ui:24-uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; urn:NBN:nl:ui:24-uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; http://resolver.tudelft.nl/uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba.

Council of Science Editors:

Yuan Y. Lagrangian Multi-Class Traffic State Estimation. [Doctoral Dissertation]. TRAIL Research School; 2013. Available from: http://resolver.tudelft.nl/uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; urn:NBN:nl:ui:24-uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; urn:NBN:nl:ui:24-uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba ; http://resolver.tudelft.nl/uuid:cc1f8e6d-8c86-4b20-98bc-29159a9386ba

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