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ROBUST EXPONENTIAL STABILITY OF UNCERTAIN FUZZY STOCHASTIC NEUTRAL NEURAL NETWORKS WITH MIXED TIME-VARYING DELAYS

机译:混合时变时滞的不确定模糊随机神经网络的鲁棒指数稳定性

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摘要

The robust exponential stability problem for a class of uncertain fuzzy stochastic neutral neural networks systems with mixed delays is concerned about. Based on the Lyapunov functional and the stochastic stability theory, the sufficient conditions are developed in terms of linear matrix inequalities (LMIs). Examples and simulations are provided to illustrate the effectiveness and the less conservatism of the proposed method.
机译:研究了一类具有混合时滞的不确定模糊随机中立神经网络系统的鲁棒指数稳定性问题。基于Lyapunov泛函和随机稳定性理论,根据线性矩阵不等式(LMI)发展了充分条件。实例和仿真结果说明了该方法的有效性和保守性。

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