带有变系数的时滞模糊神经网络的鲁棒稳定性分析

Robust Stability Analysis of Delayed Fuzzy Neural Networks with Variable Coefficients

研究了带有时滞和S-型分布延迟的模糊神经网络的局部鲁棒稳定性,给出非孤立平衡点的局部鲁棒稳定性及吸引域的充分条件,得到了平衡点的局部鲁棒稳定性判据,并且使其在带有时滞或无时滞的模糊神经网络中有了更广泛的应用.

In this paper,local robust stability of fuzzy neural network(FNNs) with time-varying and S-type distributed delays is studied.The sufficient conditions for local robust stability of non-solitary equilibrium points and their attracting domains are derived and the local robust stability criterion of equilibrium points is obtained,making the application of local robust stability of equilibrium points in fuzzy neural network with or without delays much broader.