Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/81493
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Type: | Journal article |
Title: | Fuzzy-model-based fault-tolerant design for nonlinear stochastic systems against simultaneous sensor and actuator faults |
Author: | Liu, M. Cao, X. Shi, P. |
Citation: | IEEE Transactions on Fuzzy Systems, 2013; 21(5):789-799 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2013 |
ISSN: | 1063-6706 1941-0034 |
Statement of Responsibility: | Ming Liu, Xibin Cao, Peng Shi |
Abstract: | This paper addresses the problem of fault estimation and fault-tolerant control for a class of Takagi-Sugeno (T-S) fuzzy Itô stochastic systems subject to simultaneously sensor and actuator faults. The main difficulty in this study is that sensor faults, actuator faults, and stochastic noise that are governed by Brownian motion are taken into simultaneous consideration in a unified framework, and traditional fault-tolerant approaches are not effective to solve this research issue. A new descriptor fuzzy sliding-mode observer approach is presented in this paper to obtain the simultaneous estimates of system state, sensor fault, and actuator fault vectors. Based on the state estimates, an observer-based fault-tolerant control (FTC) scheme is developed to stabilize the resulting closed-loop system. Finally, a simulation example is provided to show the effectiveness of the proposed fault-tolerant approach. |
Keywords: | Fault estimation (FE) Itô stochastic system Takagi–Sugeno (T–S) fuzzy system fault-tolerant control (FTC) sliding-mode observer (SMO) |
Rights: | Copyright status unknown |
DOI: | 10.1109/TFUZZ.2012.2224872 |
Published version: | http://dx.doi.org/10.1109/tfuzz.2012.2224872 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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RA_hdl_81493.pdf Restricted Access | Restricted Access | 1.38 MB | Adobe PDF | View/Open |
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