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Fault detection for a class of network‐based nonlinear systems with communication constraints and random packet dropouts
Author(s) -
Zhang Dan,
Yu Li,
Wang QingGuo
Publication year - 2011
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.1245
Subject(s) - network packet , control theory (sociology) , filter (signal processing) , nonlinear system , residual , fault detection and isolation , fault (geology) , computer science , transmission (telecommunications) , filtering problem , fuzzy logic , filter design , algorithm , control (management) , artificial intelligence , telecommunications , actuator , computer network , physics , quantum mechanics , seismology , computer vision , geology
This paper is dealt with the fault detection (FD) problem for a class of network‐based nonlinear systems with communication constraints and random packet dropouts. The plant is described by a Takagi–Sugeno fuzzy time‐delay model, it has multiple sensors and only one of them is actually communicated with the FD filter at each transmission instant, and the packet dropouts occur randomly. The goal is to design a FD filter such that, for all unknown inputs, control inputs, time delays and incomplete data conditions, the estimation error between the residual and ‘fault’ (or, more generally, the weighted fault) is minimized. By casting the addressed FD problem into an auxiliary H ∞ filtering problem of a stochastic switched fuzzy time‐delay system, a sufficient condition for the existence of the desired FD filter is established in terms of linear matrix inequalities. A numerical example is provided to illustrate the effectiveness and applicability of the proposed technique. Copyright © 2011 John Wiley & Sons, Ltd.