Title
Fuzzy-Model-Based Fault-Tolerant Design for Nonlinear Stochastic Systems Against Simultaneous Sensor and Actuator Faults
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.
Year
DOI
Venue
2013
10.1109/TFUZZ.2012.2224872
IEEE Transactions on Fuzzy Systems
Keywords
Field
DocType
observers,takagi-sugeno (t-s) fuzzy system,fuzzy set theory,nonlinear stochastic systems,fuzzy-model-based fault-tolerant design,fault-tolerant control (ftc),takagi-sugeno fuzzy itô stochastic systems,descriptor fuzzy sliding-mode observer approach,stochastic systems,control system synthesis,takagi–sugeno (t–s) fuzzy system,actuator faults,closed-loop system,fault tolerance,itô stochastic system,nonlinear control systems,fault estimation,ftc,sliding-mode observer (smo),closed loop systems,variable structure systems,brownian motion,observer-based fault-tolerant control scheme,fault estimation (fe),fuzzy systems
Nonlinear system,Control theory,Fuzzy logic,Fuzzy set,Fault tolerance,Fuzzy control system,Observer (quantum physics),Brownian motion,Mathematics,Actuator
Journal
Volume
Issue
ISSN
21
5
1063-6706
Citations 
PageRank 
References 
60
1.93
19
Authors
3
Name
Order
Citations
PageRank
Ming Liu196340.79
Xibin Cao215611.44
Peng Shi315816704.36