Project (No. 60074008) supported by the National Natural Science Foundation of China
To facilitate stability analysis of discrete-time bidirectional associative memory (BAM) neural networks, they were converted into novel neural network models, termed standard neural network models (SNNMs), which inte...
This project was supported by the National Natural Science Foundation of China (60074008) .
We propose a new approach for analyzing the global asymptotic stability of the extended discrete-time bidirectional associative memory (BAM) neural networks. By using the Euler rule, we discretize the continuous-tim...
Supported by National Natural Science Foundation of China (No. 60074008, 60274007).
Based on Lyapunov stability theory, a novel adaptive controller is designed for a class of chaotic systems .The parameters identification and synchronization of chaotic systems can be carried out simultaneously. The c...