Fault Detection for Uncertain Fuzzy Systems: An LMI Approach

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Nguang, Sing Kiong , 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


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.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/3372
DOI 10.1109/TFUZZ.2007.894983
Official URL http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Historical > FOR Classification > 0199 Other Mathematical Sciences Information Systems
Keywords ResPubID18777, fault-detection filter, Lyapunov function, fuzzy system models
Citations in Scopus 252 - View on Scopus
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