Global asymptotic stability of cellular neural networks with multiple delays*
Wang Zhanshan, Zhang Hua-guang · Progress in Natural Science Materials International · 2006
Abstract Global asymptotic stability (GAS) is discussed for cellular neural networks (CNN) with multiple time delays. Several criteria are proposed to ascertain the uniqueness and global asymptotic stability of the equilibrium point for the CNN with delays. These criteria can eliminate the difference between the neuronal excitatory and inhibitory effects. Two examples are presented to demonstrate the effectiveness of the criteria. * Supported by National Natural Science Foundation of China (Grant Nos. 60274017, 60325311) and Natural Science Foundation of Liaoning Province (Grant No. 20022030)