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摘要
This paper deals with the robust exponential stability problem for a class of Markovian jump neural networks with mode-dependent delays and generally incomplete transition probability. The delays vary randomly depending on the mode of the networks. Each transition rate can be completely unknown, or only its estimate value is known. By using a new Lyapunov-Krasovskii functional, a delay-dependent stability criterion is presented in terms of linear matrix inequalities (LMIs). The proposed LMI results extend the earlier publications. Finally, a numerical example is given to show the effectiveness and efficiency of the results.
