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Robust Fault Detection for Discrete‐Time Nonlinear Impulsive Switched Systems
Author(s) -
Li Jian,
Song Zhengfan,
Su Qingyu
Publication year - 2017
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1350
Subject(s) - fault detection and isolation , control theory (sociology) , residual , filter (signal processing) , discrete time and continuous time , nonlinear system , fault (geology) , computer science , convex optimization , robustness (evolution) , filtering problem , filter design , regular polygon , mathematics , algorithm , artificial intelligence , control (management) , actuator , chemistry , geometry , quantum mechanics , computer vision , statistics , geology , physics , biochemistry , seismology , gene
This paper deals with the problem of robust fault detection for discrete‐time nonlinear impulsive switched systems. The fault detection filter is used as the residual generator, in which the filter parameters are dependant on the system mode. Attention is focused on designing the robust fault detection filter. The problem of robust fault detection is converted into an H ∞ ‐filtering problem. A sufficient condition for the solvability of this problem is established by a convex optimization problem. A numerical example is provided to demonstrate the effectiveness of the proposed method.