Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1
Uniformly Stability of Impulsive BAM Neural Networks with Delays
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
Fengjian Yang, Zhongkai University of Agriculture and Technology, P.R. China
Chaolong Zhang, Zhongkai University of Agriculture and Technology, P.R. China
Dongqing Wu, Zhongkai University of Agriculture and Technology, P.R. China
Xiaojian Hu, Zhongkai University of Agriculture and Technology, P.R. China
This paper is concerned with the stability of the impulsive bidirectional associative memory (BAM) neural networks with time delays. By means of Lyapunov function and analysis technique, sufficient conditions are obtained for the existence and uniformly stability of a unique equilibrium solution without assuming the activation function to be bounded, monotonic or differentiable. This stability property is independent of the stability behavior of continuoustime BAM model since the impulses do contribution to system?s uniformly stability.
Citation:
Fengjian Yang, Chaolong Zhang, Dongqing Wu, Xiaojian Hu, "Uniformly Stability of Impulsive BAM Neural Networks with Delays," isda, vol. 1, pp.23-27, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006