Virtual Equivalent System Approach for Stability Analysis of Model-based Control Systems
(Sprache: Englisch)
This book puts forward the concept of a virtual equivalent system (VES) based on theoretical analysis and simulation results. The new concept will facilitate the development of a unified framework for analyzing the stability and convergence of self-tuning...
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This book puts forward the concept of a virtual equivalent system (VES) based on theoretical analysis and simulation results. The new concept will facilitate the development of a unified framework for analyzing the stability and convergence of self-tuning control (STC) systems, and potentially, of all adaptive control systems. The book then shows that a time-varying STC system can be converted into a time-invariant system using a certain nonlinear compensation signal, which reduces the complexity and di culty of stability and convergence analysis. In closing, the VES concept and methodology are used to assess the stability of multiple model adaptive control (MMAC) systems and T-S model-based fuzzy control systems.
Inhaltsverzeichnis zu „Virtual Equivalent System Approach for Stability Analysis of Model-based Control Systems “
Motivation and Contents of the Monograph.-Stability and Convergence Analysis of Self-Tuning Control Systems.- Further Results On Stability and Convergence of Self-Tuning Control Systems.- Stable Weighted Multiple Model Adaptive Control: Continuous-Time Plant.- Stable Weighted Multiple Model Adaptive Control: Discrete-Time Stochastic Plant.- Further Results on Stable Weighted Multiple Model Adaptive Control: Discrete-Time Stochastic Plant.- Stability of Continuous-Time T-S Model Based Fuzzy Control Systems.- Appendix A Lemma and proofs for Chapter 2.- Appendix B Lemma and Proofs for Chapter 4.- Appendix C Lemma and proofs for Chapter 6.- Appendix D Lemma and proofs for Chapter 7.
Autoren-Porträt von Weicun Zhang, Qing Li
Weicun ZHANG is an associate professor at the School of Automation and Electrical Engineering, University of Science and Technology Beijing. He obtained his Ph.D. degree in control theory and applications from Tsinghua University in 1993. His research interest covers adaptive control, multiple model adaptive control, intelligent control, and their applications, etc.Qing Li is a professor at the School of Automation and Electrical Engineering, University of Science and Technology Beijing. He obtained his Ph.D. degree in control theory and applications from University of Science and Technology Beijing in 2000. His research interest covers intelligent control, navigation, path planning and their applications, etc
Bibliographische Angaben
- Autoren: Weicun Zhang , Qing Li
- 2020, 1st ed. 2021, XIII, 168 Seiten, 15 farbige Abbildungen, Masse: 16,3 x 23,8 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811555370
- ISBN-13: 9789811555374
Sprache:
Englisch
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