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.
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页码：312 / 317
页数：6
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