Dynamics of interval Cohen-Grossberg neural networks with time-varying delays based on LMI computation

摘要

The problem of the global robust exponential stability of delayed interval Cohen-Grossberg neural networks is considered. By constructing suitable Lyapunov functional and using the linear matrix inequality (LMI) technique, some sufficient conditions are derived to ensure the existence, uniqueness and robust exponential stability of the equilibrium point. Based on LMI computation, numerical examples are employed to show that the new results are less restrictive and less conservative than some existing results in the literature.