时空时滞混沌系统反同步控制及应用研究
ANTI-SYNCHRONIZATION CONTROL FOR SPATIOTEMPORAL DELAYED CHAOTIC SYSTEMS AND ITS APPLICATION
李力厚 1冯亚萍 1王书义2
作者信息
- 1. 洛阳铁路信息工程学校 河南洛阳 471000
- 2. 中国人民解放军第五七一五工厂 河南洛阳 471000
- 折叠
摘要
针对一类新的时空时滞惯性神经网络,研究其反同步控制及在图像保密通信上的应用.采用变量代换准则,避免了原二阶微分系统固有的复杂特性;设计一个有效地输出反馈控制器,并结合詹森(Jensen)不等式和互凸组合(RCC)方法,得到了 一个较小保守性的时空时滞惯性神经网络反同步定理;通过仿真实现了主要结果在图像保密通信上的应用并证明了所提加密方法的优越性.
Abstract
For a novel class of spatiotemporal delayed inertial neural networks(SDINNs),its anti-synchronization control and application on image secure communication are studied.A variable substitution was used to avoid the inherent complex characteristics of the original second-order differential system.It designed an effective output feedback controller and combined with Jensen's inequality and the reciprocally convex combination(RCC)method,so that a less conservative anti-synchronization theorem of the SDINNs was obtained.The simulation realized the application of the main results on image secure communication and illustrated the superiority of the encryption method of this paper.
关键词
时空时滞惯性神经网络/输出反馈控制/反同步/保密通信Key words
SDINNs/Output feedback controller/Anti-synchronization/Secure communication引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据