Fault estimations for linear systems with polytopic uncertainties
by Heng Wang, Guang-Hong Yang
International Journal of Systems, Control and Communications (IJSCC), Vol. 1, No. 1, 2008

Abstract: This paper studies the fault estimations problem for linear time-invariant systems with polytopic uncertainties. Both discrete-time and continuous-time cases are considered, and the recently developed Generalized Kalman-Yakubovich-Popov (GKYP) Lemma is exploited to formulate the fault estimation filter design problem in finite frequency domain. The filter is designed to make the error between residual and fault as small as possible despite of the disturbance effects and model uncertainties. Design methods are presented in terms of solutions to a set of Linear Matrix Inequalities (LMIs). Numerical examples are given to illustrate the effectiveness of the proposed methods.

Online publication date: Thu, 17-Jul-2008

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