Title :
Global exponential stability of hopfield neural networks with time-varying delays
Author :
Liu, Jiqing ; Huang, Jinhua
Author_Institution :
Dept. of Electr. & Electron. Eng., Wuhan Inst. of Shipbuilding Technol., Wuhan, China
Abstract :
In this paper, based on differential inequality technique, some sufficient conditions for global exponential stability of neural networks with time-varying delays are presented. A comparison of the present criteria with the previous criteria is made. Moreover, an example is given to show the effectiveness of the obtained results.
Keywords :
Hopfield neural nets; asymptotic stability; delays; Hopfield neural network; differential inequality technique; global exponential stability; sufficient condition; time-varying delay; Asymptotic stability; Biological neural networks; Delay; Neurons; Stability criteria;
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
DOI :
10.1109/IWACI.2011.6160056
