Existence and Global Exponential Stability of Periodic Solutions for General Shunting Inhibitory Cellular Neural Networks with Delays
Received:November 04, 2008  Revised:May 04, 2010
Key Words: shunting inhibitory cellular neural networks   global exponential stability   periodic solution.  
Fund Project:Supported by the Honghe University Master or Doctor Initial Fund (Grant No.XSS07001) and the Scientific Research Fund of Yunnan Provincial Education Department (Grant No.07Y10085).
Author NameAffiliation
De Fei ZHANG Department of Mathematics, Honghe University, Yunnan 661100, P. R. China 
Xin Song YANG Department of Mathematics, Honghe University, Yunnan 661100, P. R. China 
Yao LONG Department of Mathematics, Honghe University, Yunnan 661100, P. R. China 
Ping HE Department of Mathematics, Honghe University, Yunnan 661100, P. R. China 
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Abstract:
      By using the Leray-Schauder fixed point theorem, differential inequality techniques and constructing suitable Lyapunov functional, several sufficient conditions are obtained for the existence and global exponential stability of periodic solutions for general shunting inhibitory cellular neural networks with delays. Some new results are obtained and some previously known results are improved. An example is employed to illustrate our feasible results.
Citation:
DOI:10.3770/j.issn:1000-341X.2010.06.023
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