An Improved Result on Sampled-Data Synchronization of Markov Jump Delayed Neural Networks

This article deals with the issue of dissipative synchronization for Markov jump neural networks subject to time-varying interval delays by using the sampled-data control method. First, a new two-sided looped-functional is introduced to improve the informativeness of the formed Lyapunov–Krasovskii functional, which takes into an account the information of the entire sampling period. Compared with ...