Robust fault estimation based on Proportional Integral observer for Takagi-Sugeno fuzzy systems with actuator and sensor faults
| Autor: | Chao Wang, Fuqiang You, Xinyan Zhang, Shiya Cheng |
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| Rok vydání: | 2020 |
| Předmět: |
Lyapunov function
0209 industrial biotechnology Observer (quantum physics) Computer science Linear matrix inequality 02 engineering and technology Fuzzy control system Fault (power engineering) symbols.namesake 020901 industrial engineering & automation Takagi sugeno Computer Science::Systems and Control Control theory 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Actuator |
| Zdroj: | 2020 Chinese Control And Decision Conference (CCDC). |
| Popis: | This paper addresses the problems of states and faults estimation for a class of Takagi-Sugeno (T-S) fuzzy systems subject to simultaneously sensor faults, actuator faults and output disturbances. A Proportional Integral (PI) observer is proposed in this paper. The observer can not only estimate system states, sensor faults and actuator faults, but also attenuate the influence of output disturbances by introducing the H ∞ performance index. In order to get the gain matrices of the observer, one sufficient conditions are deduced in form of Linear Matrix Inequality (LMI) using Lyapunov theory. A numerical example is proposed to verify the effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
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