New delay-dependent robust stability criteria for cellular neural networks with variable delays and Uncertainties Via LMI approach

The stability of cellular neural networks (CNNs) with time-varying delays and parametric uncertainties is investigated in the present paper. By introducing a new Lyapunov-Krasovskii functional in virtue of the linearization of the model under investigation and considering the additional useful terms when estimating the upper bound of the derivative of Lyapunov functional, new delay-dependent stability criteria are established in term of linear matrix inequality(LMI). Some numerical simulation examples aimed at justifying the theoretical results are also given.