Title :
New sufficient conditions for global asymptotic stability of delayed Cohen-Grossberg neural networks
Author :
Fang, Qiu ; Baotong, Cui
Author_Institution :
Coll. of Commun. & Control Eng., Jiangnan Univ., Wuxi
Abstract :
In this paper, global asymptotic stability of the delayed Cohen-Grossberg neural networks is investigated. By constructing suitable Lyapunov functional and employing nonsmooth analysis, some sufficient conditions are obtained without demanding the boundedness and differentiability of the activation function. Moreover, two examples are demonstrated to illustrate the effectiveness of the proposed criteria in comparison with some existing results.
Keywords :
Lyapunov matrix equations; asymptotic stability; delay systems; neurocontrollers; Lyapunov function; delayed Cohen-Grossberg neural network; global asymptotic stability; nonsmooth analysis; Asymptotic stability; Cellular neural networks; Communication system control; Educational institutions; Eigenvalues and eigenfunctions; Hopfield neural networks; Neural networks; Neurons; Sufficient conditions; Symmetric matrices; Cohen-Grossberg; Global asymptotic stability; Nonsmooth analysis;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605193
