Robust Exponential Stability Analysis for Uncertain Stochastic Neural Networks

摘要：

The problem of robust exponential stability analysis for uncertain stochastic neural networks is investigated based on Lyapunov stability theory. The parametric uncertainties in the neural networks satisfy the Frobenius norm-bounded conditions. The exogenous disturbance and stochastic perturbation functions satisfy the Liptistz conditions. Based on linear matrix inequality approach, the sufficient exponential stable criteria and the asymptotical stability condition on uncertain stochastic neural networks are presented.

关键词： robust exponential stability uncertain stochastic neural networks exgenous disturbance stochastic perturbation linear matrix inequalities

作者: Xinhuai Tang Li Xie

作者单位: School of Software Shanghai Jiaotong University Shanghai, P.R.China Department of Information Science and Electronics Engineering, Zhejiang University Hangzhou, P. R. C

会议类型: 国际会议

会议名称: 2010 International Conference on Bio-inspried System and Signal Processing(2010 IEEE生物系统与信号处理国际会议 ICBSSP 2010)

会议地点: 厦门

会议语种:英文

页码: 158-161

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）