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Less conservative delay-dependent [formula omitted] control of uncertain neural networks with discrete interval and distributed time-varying delays.

Authors :
Syed Ali, M.
Saravanakumar, R.
Zhu, Quanxin
Source :
Neurocomputing. Oct2015, Vol. 166, p84-95. 12p.
Publication Year :
2015

Abstract

This paper deals with the robust H ∞ control problem for a class of uncertain neural networks with discrete interval and distributed time-varying delays. The main purpose of this paper is to estimate robust asymptotic stability of the given neural network with H ∞ performance analysis γ . By constructing novel Lyapunov–Krasovskii functionals with triple integral terms, several new less conservative delay-dependent stability conditions for H ∞ control are obtained in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed theoretical results. The method given in this paper shows less conservative results when comparing with some existing methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
166
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
103237503
Full Text :
https://doi.org/10.1016/j.neucom.2015.04.023