The SMC Approach to Global Synchronization of the Cellular Neural Networks with Multi-delays and Distributed Delays
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  • 作者:Guoliang Cai (1) glcai@ujs.edu.cn
    Qin Yao (1) yaoqin11kuaile@163.com
    Xianbin Wu (2) wxb3210@zwu.edu.cn
  • 关键词:cellular neural networks – ; delays – ; global synchronization – ; global stability – ; sliding mode control
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2012
  • 出版时间:2012
  • 年:2012
  • 卷:7367
  • 期:1
  • 页码:235-245
  • 全文大小:247.1 KB
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  • 作者单位:1. Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang, Jiangsu 212013, China2. Junior College, Zhejiang Wanli University, Ningbo, Zhejiang 315100, China
  • ISSN:1611-3349
文摘
This paper is further to investigate the global synchronization of the cellular neural networks with both multi-delays and distributed delays. Based on the Lyapunov stability theorem, by using the LMI technique and designing a sliding mode control (SMC) approach, a less conservative yet sufficient condition is derived to guarantee the global stability of the error system with both delay-independent and delay-dependent situations. The feasible SMC law is designed such that the trajectory of the error system is globally driven onto the specified sliding surface. The global synchronization is obtained at last.

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