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Fault Detection for Uncertain Fuzzy Systems: An LMI Approach

Nguang, Sing Kiong and Shi, Peng and Ding, Steven (2007) Fault Detection for Uncertain Fuzzy Systems: An LMI Approach. IEEE Transactions on Fuzzy Systems, 15 (6). pp. 1251-1262. ISSN 10636706

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Abstract

This paper studies the problem of designing a robust fault-detection system for uncertain Takagi-Sugeno fuzzy models. The worst case fault sensitivity measure is formulated in terms of linear matrix inequalities. The existence of a robust fault detection system that guarantees i) the L2-gain from a fault signal to a residual signal greater than a prescribed value and ii) the L2-gain from an exogenous input to a residual signal less than a prescribed value is given in terms of the solvability of linear matrix inequalities. Numerical examples are used to illustrate the effectiveness of the proposed design techniques.

Item Type: Article
Uncontrolled Keywords: ResPubID18777, fault-detection filter, Lyapunov function, fuzzy system models
Subjects: FOR Classification > 0906 Electrical and Electronic Engineering
Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0199 Other Mathematical Sciences Information Systems
Depositing User: VUIR
Date Deposited: 01 May 2012 01:48
Last Modified: 01 May 2012 01:48
URI: http://vuir.vu.edu.au/id/eprint/3372
DOI: 10.1109/TFUZZ.2007.894983
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Citations in Scopus: 116 - View on Scopus

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