Fault estimation and tolerant control for fuzzy stochastic systems
Date
2013
Authors
Liu, M.
Cao, X.
Shi, P.
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Journal article
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IEEE Transactions on Fuzzy Systems, 2013; 21(2):221-229
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Ming Liu, Xibin Cao, and Peng Shi
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Abstract
This paper deals with the problem of fault estimation and fault-tolerant control for Takagi-Sugeno (T-S) fuzzy stochastic systems with sensor failures, where the system under consideration contains Itô-type stochastic disturbances. A new robust observer technique is presented to obtain the estimates of the system states and the sensor faults simultaneously, and a fuzzy fault-tolerant control scheme is developed to guarantee the closed-loop system to be exponentially stable in mean square. Sufficient conditions are obtained for the existence of admissible controllers, and it is shown that the reachability of the sliding-mode dynamics can be guaranteed under the proposed control techniques. Finally, a numerical example is provided to illustrate the effectiveness and applicability of the theoretic results obtained.
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© 2012 IEEE