Less conservative delay-dependent H∞ control of uncertain neural networks with discrete interval and distributed time-varying delays
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作者:
Ali, M. Syed
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Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, IndiaThiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India
Ali, M. Syed
[1
]
Saravanakumar, R.
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Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, IndiaThiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India
Saravanakumar, R.
[1
]
Zhu, Quanxin
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Nanjing Normal Univ, Sch Math Sci, Nanjing 210023, Jiangsu, Peoples R China
Nanjing Normal Univ, Inst Finance & Stat, Nanjing 210023, Jiangsu, Peoples R ChinaThiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India
Zhu, Quanxin
[2
,3
]
机构:
[1] Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India
[2] Nanjing Normal Univ, Sch Math Sci, Nanjing 210023, Jiangsu, Peoples R China
[3] Nanjing Normal Univ, Inst Finance & Stat, Nanjing 210023, Jiangsu, Peoples R China
This paper deals with the robust H-infinity 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-infinity performance analysis gamma. By constructing novel Lyapunov-Krasovskii functionals with triple integral terms, several new less conservative delay-dependent stability conditions for H-infinity 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. (C) 2015 Elsevier B.V. All rights reserved.