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Robust Inversion Based Fault Estimation for Discrete-Time LPV Systems

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2 Author(s)
Kulcsár, B. ; Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden ; Verhaegen, M.

The article presents a state-space based Fault Diagnosis (FD) method for discrete-time, affine Linear Parameter Varying (LPV) systems. The goal of the technical note is to develop a robust and dynamic inversion based technique for systems with parameter varying representations when an additive, exogenous disturbance signal perturbs the system. After applying geometric concepts for explicit fault inversion, a robust strategy is proposed to attenuate the effect of the unknown disturbance input signal on the fault estimation error. The proposed robust observer is derived as a solution of off-line Linear Matrix Inequality (LMI) conditions. The technical note demonstrates the viability of the novel methodology through a numerical example.

Published in:

Automatic Control, IEEE Transactions on  (Volume:57 ,  Issue: 6 )

Date of Publication:

June 2012

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