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 10636706Full text for this resource is not available from the Research Repository.
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.
|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
|Date Deposited:||01 May 2012 01:48|
|Last Modified:||01 May 2012 01:48|
|ePrint Statistics:||View download statistics for this item|
|Citations in Scopus:||116 - View on Scopus|
Repository staff only