Global Dissipativity of Inertial Neural Networks with Proportional Delay via New Generalized Halanay Inequalities

作者:Hongfei Li, Chuandong Li, Wei Zhang, Jing Xu

摘要

This article is devoted to the global dissipativity of inertial neural networks with proportional delay. A novel generalized Halanay inequality which involves proportional delay is established. By constructing a new generalized Halanay inequality, several new explicit delay-independent conditions are derived in terms of linear matrix inequalities to ensure the global dissipativity of the considered system. Moreover, a new differential delay inequality which involves unbounded time-varying delay is considered. Due to the proportional delay is one type of unbounded time-varying delays, new analysis techniques can effectively avoid the difficulties caused by proportional delay by applying a new differential delay inequality. Especially, several novel delay-dependent sufficient conditions are obtained to guarantee the global dissipativity of the considered system. Finally, two simulations examples are provided to illustrate the validity of the proposed theoretical analysis.

论文关键词:Inertial neural networks, Global dissipativity, Proportional delay, Generalized Halanay inequalities, Linear matrix inequalities

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论文官网地址:https://doi.org/10.1007/s11063-018-9788-6