Delay-dependent exponential stability analysis of delayed cellular neural networks

摘要

For the delayed cellular neural networks, the estimate of exponential convergence rate and exponential stability is considered in this paper. The Lyapunov-Krasovskii functionals combined with linear matrix inequality (LMI) approach are employed to investigate the bound on the cell template and delay-type cell template matrices so that the systems are exponentially stable. Some criteria for the exponential stability which can give information on the delay-dependence are derived.