Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/78424
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Type: Journal article
Title: Fault estimation and tolerant control for fuzzy stochastic systems
Author: Liu, M.
Cao, X.
Shi, P.
Citation: IEEE Transactions on Fuzzy Systems, 2013; 21(2):221-229
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Issue Date: 2013
ISSN: 1063-6706
1941-0034
Statement of
Responsibility: 
Ming Liu, Xibin Cao, and Peng Shi
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.
Keywords: Fault estimation, fault-tolerant control (FTC), Itô stochastic system, sensor fault, sliding-mode observer, Takagi– Sugeno (T–S) fuzzy system
Rights: © 2012 IEEE
DOI: 10.1109/TFUZZ.2012.2209432
Appears in Collections:Aurora harvest 4
Electrical and Electronic Engineering publications

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