Passivity of Memristor-Based Inertial Neural Networks with Multi-Proportional Delays

被引：0

作者：

Song, Yinfang ^{[1
]}

机构：

[1] Yangtze Univ, Sch Informat & Math, Jingzhou 434023, Peoples R China

来源：

2018 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2018年

关键词：

Passivity; inertial neural networks; multi-proportional delays; Lyapunov-Krasovskii functional; Filippov solution; GLOBAL EXPONENTIAL DISSIPATIVITY; STABILITY; SYNCHRONIZATION; PASSIFICATION; STABILIZATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper mainly focuses on the passivity of memristor-based inertial neural networks (MINNs) with multi-proportional delays. Some novel criteria are proposed to guarantee the delay-independent and delay-dependent passivity of MINNs based on linear matrix inequalities and Lyapunov-Krasovskii functional approach. Furthermore, an example is introduced to demonstrate the effectiveness of the presented results.

引用

页码：312 / 317

页数：6

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