Title :
Robust stability analysis for uncertain delay neural networks
Author :
Xie, Li ; Xiong, Gang ; He, Xing ; Nyberg, Timo R. ; Xu, Xiaoming
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., China
Abstract :
A delay dependent stability criterion for uncertain delay neural network is developed. A sufficient condition for the asymptotically robust stability of neural networks is proposed. The criterion includes the information on the size of time delay. In this criterion, a maximum admission delay value is estimated. The checking for robust stability of uncertain delay neural networks by our result can be carried out simply. Our result is less conservative than previously known criterion
Keywords :
asymptotic stability; delay systems; neural nets; stability criteria; uncertain systems; Lyapunov function; delay dependent stability criterion; maximum admission delay value; robust stability analysis; sufficient condition; uncertain delay neural networks; Delay effects; Delay estimation; Lyapunov method; Neural networks; Robust stability; Stability analysis; Stability criteria; Sufficient conditions; Symmetric matrices; Uncertain systems;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973502