Aperiodic Sampled-data Controller Design of Stochastic Markovian Jump Neural Networks With Time-Varying Delay
Guoliang Chen, Te Yang, Jianwei Xia · 2020
In this paper, aperiodic sampled-data controller design problem for stochastic Markovian jump neural networks (SMJNNs) with time-varying delay is considered. By constructing mode-dependent looped-functional based functional and using Ito formula, stochastic stability criteria are proposed for SMJNNs with time-varying delay. Based on this stability conditions, modedependent aperiodic sampled-data controller is designed for SMNNs. The effectiveness of the proposed method is illustrated by a numerical example.