Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Fault estimation and tolerant control for fuzzy stochastic systems|
|Citation:||IEEE Transactions on Fuzzy Systems, 2013; 21(2):221-229|
|Publisher:||IEEE-Inst Electrical Electronics Engineers Inc|
|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|
|Appears in Collections:||Aurora harvest 4|
Electrical and Electronic Engineering publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.