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Less conservative delay-dependent H-infinity control of uncertain neural networks with discrete interval and distributed time-varying delays

机译:具有离散间隔和分布时变时滞的不确定神经网络的保守度较小的时滞相关H无限控制

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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.
机译:针对一类具有离散间隔和分布时变时滞的不确定神经网络,研究了鲁棒的H-∞控制问题。本文的主要目的是利用H-无穷大性能分析伽玛来估计给定神经网络的鲁棒渐近稳定性。通过构造具有三重积分项的新颖的Lyapunov-Krasovskii泛函,就线性矩阵不等式而言,获得了一些新的不太保守的依赖于时滞的H-无穷大控制条件。数值例子说明了所提出理论结果的有效性。与现有方法相比,本文给出的方法显示的保守性较差。 (C)2015 Elsevier B.V.保留所有权利。

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