Dissipativity-Based Intermittent Fault Detection and Tolerant Control for Multiple Delayed Uncertain Switched Fuzzy Stochastic Systems With Unmeasurable Premise Variables
| Autor: | Shaoxin Sun, Huaguang Zhang, Chong Liu, Yang Liu |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
0209 industrial biotechnology
Models Statistical Observer (quantum physics) Computer science 02 engineering and technology Residual Fuzzy logic Fault detection and isolation Feedback Computer Science Applications Intermittent fault Human-Computer Interaction Nonlinear system 020901 industrial engineering & automation Fuzzy Logic Nonlinear Dynamics Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Piecewise 020201 artificial intelligence & image processing Electrical and Electronic Engineering Algorithms Software Information Systems |
| Zdroj: | IEEE Transactions on Cybernetics. 52:8766-8780 |
| ISSN: | 2168-2275 2168-2267 |
| Popis: | This study focuses on dissipativity-based fault detection for multiple delayed uncertain switched Takagi-Sugeno fuzzy stochastic systems with intermittent faults and unmeasurable premise variables. Nonlinear dynamics, exogenous disturbances, and measurement noise are also considered. In contrast to the existing study works, there is a wider range of applications. An observer is explored to detect faults. A controller is studied to stabilize the considered system. A piecewise fuzzy Lyapunov function is collected to obtain delay-dependent sufficient conditions by means of linear matrix inequalities. The designed observer has less conservatism. In addition, the strict (Q, S,R)-e-dissipativity performance is achieved in the residual dynamic. Besides, the elaborate H∞ performance and the elaborate H performance are also acquired. Finally, the availability of the method in this study is verified through two simulation examples. |
| Databáze: | OpenAIRE |
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