Robust Exponential Stability for Discrete-Time Uncertain BAM Neural Networks Markovian Jump System with Time Delays

摘要

This paper is concerned with the problem of robust exponential stability for discrete-time BAM neural networks with mode-dependent time delays and Markovian jump parameters, by utilizing the Lyapunov functional and combining with the linear matrix inequality (LMI) approach, the global exponential stability is investigated. The time delay varies in an interval and depends on the mode of operation. A new Markov process as discrete-time, discrete-state Markov process is considered. A numerical example illustrates the effectiveness of the method.