Detection of State-Multiplicative Faults in Discrete-Time Linear Systems

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Abstract

The conditions for observer based residual filter design for linear discrete-time state-multiplicative systems are presented in the paper. With respect to the residual signal’s time evolution, as well as to its robustness, the design problem is stated in terms of linear matrix inequalities (LMI). To expand the standard LMI formulation, norm bounds on disturbance and, in particular, a new characterisation of the norm boundaries of the multiplicative faults are projected into enhanced bounded real lemma structure of LMI. With given restrictions, the design steps are revealed in the example for projecting the state estimation error to fault residuals.

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Krokavec, D., & Filasová, A. (2020). Detection of State-Multiplicative Faults in Discrete-Time Linear Systems. In Advances in Intelligent Systems and Computing (Vol. 1196 AISC, pp. 1424–1433). Springer. https://doi.org/10.1007/978-3-030-50936-1_118

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