Title | ||
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Fault detection for a class of nonlinear networked control systems with Markov sensors assignment and random transmission delays |
Abstract | ||
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The paper investigates the fault detection problem for a class of nonlinear networked control systems with both communication constraints and random transmission delays. The access status of the sensors is governed by a stochastic event, which is modeled as a Markov chain taking matrix values in a certain set. The main task of this paper is to design a mode-dependent fault detection filter, such that for Markov sensors assignment, random network-induced delays and the unknown input signal, the error between the fault and the residual signal is minimized. And the resulting fault detection dynamics is formulated as an H∞ filtering problem of a Markov jump system. The linear matrix inequality-based sufficient conditions for the existence of the fault detection filter are obtained. Finally, two examples are given to show the effectiveness of the developed method. |
Year | DOI | Venue |
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2014 | 10.1016/j.jfranklin.2014.07.010 | Journal of the Franklin Institute |
Field | DocType | Volume |
Nonlinear system,Matrix (mathematics),Computer science,Fault detection and isolation,Control theory,Markov model,Markov chain,Filtering problem,Control system,Linear matrix inequality | Journal | 351 |
Issue | ISSN | Citations |
10 | 0016-0032 | 8 |
PageRank | References | Authors |
0.47 | 28 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yanqian Wang | 1 | 18 | 4.99 |
Shengyuan Xu | 2 | 3541 | 251.22 |
Shuyu Zhang | 3 | 14 | 4.74 |