New Global Exponential Stability Results of Delayed Cellular Neural Networks
This paper presents new sucient conditions for the global exponential stability of the equilibrium point of delayed cellular neural networks. The results are obtained by the use of a Lyapunov functionals. An example is given to demonstrate the eectiveness of the proposed results.
Qiang Zhang Peng Chu
Liaoning Key Lab of Intelligent Information Processing Dalian University Dalian, 116622, China Telecommunication Engineering Institute Air Force Engineering University Xian, 710077, China
国际会议
南宁
英文
2007-07-20(万方平台首次上网日期,不代表论文的发表时间)