Fault Estimation and Tolerant Control for Fuzzy Stochastic Systems
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Liu, Ming, Cao, Xibin and Shi, Peng (2012) Fault Estimation and Tolerant Control for Fuzzy Stochastic Systems. IEEE Transactions on Fuzzy Systems, 21 (2). pp. 221-229. ISSN 1063-6706
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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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/23673 |
| DOI | 10.1109/TFUZZ.2012.2209432 |
| Official URL | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
| Subjects | Historical > FOR Classification > 0802 Computation Theory and Mathematics Historical > FOR Classification > 0906 Electrical and Electronic Engineering Current > Division/Research > College of Science and Engineering |
| Keywords | ResPubID26714, fault estimation, Itô stochastic system, Takagi–Sugeno fuzzy system, fault-tolerant control, sensor fault, sliding-mode observer |
| Citations in Scopus | 193 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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