Stochastic global exponential stability for neutral-type impulsive neural networks with mixed time-delays and Markovian jumping parameters. (English)
Commun. Nonlinear Sci. Numer. Simul. 16, No. 9, 3786-3791 (2011).
Summary: This paper investigates the problem of the global exponential stability for neutral-type impulsive neural networks with mixed delays and Markovian jumping parameters. The mixed delays include discrete and distributed time-delays and the jumping parameters are generated from a continuous time discrete state homogeneous Markov process. Based on the Lyapunov functional, a sufficient criterion is derived in terms of the linear matrix equality.