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- Title
Robust fault detection filter design for a class of neutral-type neural networks with time-varying discrete and unbounded distributed delays.
- Authors
Zhang, Xian; Lin, Xue; Wang, Yantao
- Abstract
SUMMARY This paper is concerned with the problem of robust fault detection filter design for a class of neutral-type neural networks with time-varying discrete and unbounded distributed delays. A Luenberger-type observer is designed for monitoring fault. By introducing an appropriate Lyapunov-Krasovskii functional and by using Jensen's inequality techniques to deal with its derivative, a new sufficient condition for the existence of robust fault detection filter is proposed in the form of LMIs with nonlinear constraints. To solve the nonlinear problem, a cone complementarity linearization algorithm is proposed. In addition, several numerical examples are provided to illustrate the applicability of the proposed approach. Copyright © 2012 John Wiley & Sons, Ltd.
- Subjects
ARTIFICIAL neural networks; ARTIFICIAL intelligence; ROBUST control; COMPUTER programming; NONLINEAR theories; MATHEMATICAL analysis; ELECTRONIC data processing; MATHEMATICAL models
- Publication
Optimal Control - Applications & Methods, 2013, Vol 34, Issue 5, p590
- ISSN
0143-2087
- Publication type
Article
- DOI
10.1002/oca.2041