NDLI: Fault-tolerant control for T-S fuzzy systems with actuator faults: A fault partitioning approach

Content Provider	IEEE Xplore Digital Library
Author	Xiaobo Chi Xinchun Jia Lifei Cheng Yu Zhang Bo Liu
Copyright Year	2011
Description	Author affiliation: School of Mathematical Sciences, Shanxi University, Taiyuan 030006, China (Xiaobo Chi; Xinchun Jia; Lifei Cheng Yu Zhang; Bo Liu)
Abstract	This paper proposes a new approach to investigate the fault-tolerant control problem for Takagi-Sugeno fuzzy systems with actuator faults. The fault is considered to be time-varying and has a lower and upper bounds. By using the fault partitioning idea, a new fuzzy fault-tolerant control model is formulated, in which the actuator faults has several fault modes with fault parameters, and the switching among them is governed by a finite-state Markov chain with partly unknown transition probabilities. Then a fault-partitioning-dependent stability criterion is derived by combining the stability theory of Markov jump systems and the convex combination technique. The fault tolerant controller is designed in terms of linear matrix inequalities, which guarantees the faulty system is stochastically stable. A numerical example is given to illustrate the effectiveness of the proposed methods.
Starting Page	217
Ending Page	222
File Size	196369
Page Count	6
File Format	PDF
ISBN	9781612841991
e-ISBN	9781612842004
DOI	10.1109/ICCIS.2011.6070331
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Markov processes Actuators Linear matrix inequalities Fault tolerance Fault tolerant systems Stability analysis Fuzzy systems
Content Type	Text
Resource Type	Article

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