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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 |
Published version: | http://dx.doi.org/10.1109/tfuzz.2012.2209432 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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