Stability for switched Cohen-Grossberg neural networks with average dwell time

This paper studies the stability of switched Cohen-Grossberg neural networks with interval time-varying delay and distributed time-varying delay. A piecewise Lyapunov function is utilized to deal with the switching problems of stability. The switching signals are arbitrary under the constraint of the average dwell time which is calculated by collecting the state decay estimation of subsystem. Sufficient conditions are obtained in terms of linear matrix inequality (LMI) to guarantee the exponential stability for the switched Cohen-Grossberg neural networks. Numerical example is provided to illustrate the effectiveness of the proposed method.