An LMI approach to design robust fault detection filter for uncertain LTI systems. (English) Zbl 1036.93061

Zhong, Maiying; Ding, Steven X.; Lam, James; Wang, Haibo

Automatica 39, No. 3, 543-550 (2003).

The robust fault detection filter design problem for uncertain linear time-invariant (LTI) systems with both unknown inputs and modelling errors is studied. The basic idea is to use an optimal residual generator (assuming no modelling errors) as the reference residual model of the robust fault detection filter design for uncertain LTI systems with modelling errors and, based on it, to formulate the robust fault detection filter design as an \(H_\infty\) model-matching problem. A solution of the optimization problem is presented. The main results include the development of an optimal reference residual model, the formulation of the robust fault detection filter design problem, the derivation of a sufficient condition for the existence of a robust fault detection filter and a construction of it based on the linear matrix inequality solution parameters, and the determination of an adaptive threshold for fault detection. An illustrative numerical example is given.

Reviewer: Vjatscheslav Vasiliev (Tomsk)

MSC:

93E11	Filtering in stochastic control theory
93B25	Algebraic methods
93B36	\(H^\infty\)-control
93B51	Design techniques (robust design, computer-aided design, etc.)

Keywords:

robustness; fault detection filter; model matching; linear matrix inequality

References:

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