Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays

被引：0
|
作者：
Wei Zhao
Huaiqin Wu
机构：
[1] Yanshan University,School of Science
来源：
Advances in Difference Equations | / 2018卷
关键词：
Fixed-time synchronization; Semi-Markovian jumping; Neural networks; Time-varying delay;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper is concerned with the global fixed-time synchronization issue for semi-Markovian jumping neural networks with time-varying delays. A novel state-feedback controller, which includes integral terms and time-varying delay terms, is designed to realize the fixed-time synchronization goal between the drive system and the response system. By applying the Lyapunov functional approach and matrix inequality analysis technique, the fixed-time synchronization conditions are addressed in terms of linear matrix inequalities (LMIs). Finally, two numerical examples are provided to illustrate the feasibility of the proposed control scheme and the validity of theoretical results.
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