Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems

Sun, Shaoxin; Zhang, Huaguang; Su, Xiaojie

ISBN 10: 9819913586 / ISBN 13: 9789819913589

Editore: Springer, 2023

Riguardo questo articolo

In.

Codice articolo ria9789819913589_new

Dati bibliografici

• Titolo: Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems
• Editore: Springer
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 9819913586
• ISBN 13: 9789819913589
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems. Through the use of multiple-integral observers, it addresses fault estimation and active fault-tolerant control for time-delayed fuzzy systems with actuator faults and both actuator and sensor faults. Additionally, the book explores the use of sliding mode control to solve issues of sensor fault estimation, intermittent actuator fault estimation, and active fault-tolerant control for time-delayed switched fuzzy systems. Furthermore, it presents the use of H∞ guaranteed cost control for both time-delayed switched fuzzy systems and time-delayed switched fuzzy stochastic systems with intermittent actuator and sensor faults. Finally, the problem of delay-dependent finite-time fault-tolerant control for uncertain switched T-S fuzzy systems with multiple time-varying delays, intermittent process faults and intermittent sensor faults is studied.

 

The research on fault estimation and tolerant control has drawn attention from engineers and scientists in various fields such as electrical, mechanical, aerospace, chemical, and nuclear engineering. The book provides a comprehensive framework for this topic, placing a strong emphasis on the importance of stability analysis and the impact of result conservatism on the design and implementation of observers and controllers. It is intended for undergraduate and graduate students interested in fault diagnosis and tolerant control technology, researchers studying time-varying delayed T-S fuzzy systems, and observer/controller design engineers working on system stability applications.