In:
Mathematical Problems in Engineering, Hindawi Limited, Vol. 2015 ( 2015), p. 1-11
Abstract:
The problem of robust fault detection filter (FDF) design and optimization is investigated for a class of networked control systems (NCSs) with random delays. The NCSs are modeled as Markovian jump systems (MJSs) by assuming that the random delays obey a Markov chain. Based on the model, an observer-based residual generator is constructed and the corresponding fault detection problem is formulated as an H ∞ filtering problem by which the error between the residual signal and the fault is made as small as possible. A sufficient condition for the existence of the desired FDF is derived in terms of linear matrix inequalities (LMIs). Furthermore, to improve the performance of the robust fault detection systems, a time domain optimization approach is proposed. The solution of the optimization problem is given in the form of Moore-Penrose inverse of matrix. A numerical example is provided to illustrate the effectiveness and potential of the proposed approach.
Type of Medium:
Online Resource
ISSN:
1024-123X
,
1563-5147
Language:
English
Publisher:
Hindawi Limited
Publication Date:
2015
detail.hit.zdb_id:
2014442-8
SSG:
11
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