Robust exponential stability analysis for unertain neural networks with time delay

Authors:
Xinhuai Tang;Li Xie
Affiliations:
School of Software, Shanghai Jiaotong University, Shanghai, P.R.China;Department of Information Science and Electronics Engineering, Zhejiang University, Hangzhou, P. R. China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

The robust exponential stability of uncertain neural networks with time delay is analyzed based on Lyapunov stability theory. The nonlinear uncertain perturbation in the neural networks satisfies the cone bounded condition. By choosing suitable Lyapunov functional, several sufficient conditions on robust stability and robust exponential stability of uncertain neural networks with time delays are given. All the stable criteria in this paper are presented in terms of linear matrix inequality.