1.

Record Nr.

UNINA9910483040503321

Autore

Zhang Weicun

Titolo

Virtual equivalent system approach for stability analysis of model-based control systems / / Weicun Zhang, Qing Li

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021

ISBN

981-15-5538-9

Edizione

[1st edition 2021.]

Descrizione fisica

1 online resource (XIII, 168 p. 100 illus., 15 illus. in color.)

Disciplina

629.8

Soggetti

Automatic control

Signal processing

Image processing

Speech processing systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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 difficulty 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.