期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 23, 期 2, 页码 421-433出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2014.2315298
关键词
Linear matrix inequalities; reliable control; sensor fault; Takagi and Sugeno (T-S) fuzzy control systems
资金
- Funds of National Science of China [60904010, 61273148]
- Program for New Century Excellent Talents in University [NCET-11-0072]
- Fundamental Research Funds for the Central Universities [N120504004, N110804001]
- Foundation for the Author of National Excellent Doctoral Dissertation of P. R. China [201157]
- State Key Laboratory of Synthetical Automation for Process Industries Fundamental Research Funds [2013ZCX01]
- China Postdoctoral Science Foundation [20100470074, 201104608]
- Nature Science of Foundation of Liaoning Province [201202063]
- 985 Fund
- Postdoctoral Science Foundation of Northeastern University, China
This paper is concerned with reliable state feedback control synthesis for Takagi and Sugeno (T-S) fuzzy systems with sensor multiplicative faults. By considering the influence of sensor faults on both the system states and premise variables of fuzzy controllers, a class of new convex reliable stabilization conditions are proposed for T-S fuzzy systems using the properties of fuzzy product inference engines. Furthermore, the obtained result is extended to the H-infinity reliable control case. The resulting controllers are reliable in that they provide guaranteed asymptotic stability and H-infinity performance when all sensors are operational, as well as when some sensor experiences failures. Different from the proposed approach, the influence of sensor faults on premise variables is not considered in the existing results; then, it might not guarantee the stability and control performance for T-S fuzzy systems with premise variables dependent on the system states. A numerical example is given to illustrate the effectiveness of the proposed method.
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