Dissipativity Analysis of Neural Networks with Time-varying Delays  

作　　者：Yan Sun Bao-Tong Cui 

机构地区：[1]School of Communication and Control Engineering, 3iangnan University, Wuxi, 3iangsu 214122, PI~C

出　　处：《International Journal of Automation and computing》2008年第3期290-295,共6页国际自动化与计算杂志（英文版）

基　　金：This work was supported by National Natural Science Foundation of China (No. 60674026);Key Project of Chinese Ministry of Edu- cation (No. 107058);Jiangsu Provincial Natural Science Foundation of China (No. BK2007016)

摘　　要：A new definition of dissipativity for neural networks is presented in this paper. By constructing proper Lyapunov functionals and using some analytic techniques, sufficient conditions are given to ensure the dissipativity of neural networks with or without time-varying parametric uncertainties and the integro-differential neural networks in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the obtained results.A new definition of dissipativity for neural networks is presented in this paper. By constructing proper Lyapunov functionals and using some analytic techniques, sufficient conditions are given to ensure the dissipativity of neural networks with or without time-varying parametric uncertainties and the integro-differential neural networks in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the obtained results.

关 键 词：Neural network DISSIPATIVITY Lyapunov functional 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]