Robust exponential stability of cellular neural networks with mode-dependent time delays and Markovian jump parameters

In this paper, we investigate the problem of global robust exponential stability for a class of cellular neural networks with mode-dependent time-varying delays and Markovian jump parameters by employing an improved free-weighting matrix approach. A new Markov process as discrete-time, discrete-state Markov process are considered. A mode-dependent time delays stability performance analysis result is first established for error systems without ignoring any terms in the derivative of Lyapunov functional by considering the relationship between the time-varying delay and its upper bound. Finally, one numerical example illustrate the effectiveness and less conservativeness of our proposed method.