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Seminar on "Dynamic Output Feedback Stabilization of Switched Linear Autonomous Systems: A Hybrid Observer Approach" by Dr Miaomiao Wang

25 Oct 2024

Date: 16 October 2024, Wednesday
Time: 11:00am
Venue: YEUNG-B5311, City University of Hong Kong
Zoom Meeting ID: 859 2865 1236
Password: 123456
Speaker: Dr Miaomiao Wang, Hong Kong University of Science and Technology

 

Dynamic Output Feedback Stabilization of Switched Linear Autonomous Systems: A Hybrid Observer Approach

Dr Miaomiao Wang, Hong Kong University of Science and Technology

 

Abstract:For switched linear autonomous systems, feedback stabilization is to seek a proper switching strategy to steer the system so that it is exponentially stable. The problem has been proven to be nonconvex, not finitely representable, and automaton-supervision denied. This presentation focuses on dynamic output feedback switching design for stabilization of continuous-time switched linear autonomous systems. Under the assumption that the system is switched observable, we propose a novel hybrid observer that can recover the system state in any given time interval. For any stabilizable switched system, by incorporating the observer into a pathwise feedback switching mechanism, an observer-driven switching law can be designed to achieve exponential stability of the system.

 

 

Speaker’s Bio:Miaomiao Wang received the B.S. degree in Statistics from Central South University in 2015, and the Ph.D. degree in Systems Theory from the University of Chinese Academy of Sciences in 2020. >From 2020 to 2024, she was a postdoctoral fellow with the Key Laboratory of Systems Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences. Since 2024, she has been with the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, as a Postdoctoral Fellow. Her research interests are focused on the analysis and design of switched and hybrid systems, and the analysis and optimization of networked control systems.

WEBINAR WEBSITE:

https://www.ee.cityu.edu.hk/~cccn/webinar/


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