Title :
Global exponential stability of BAM neural networks with varying coefficient and impulses on time scales
Author :
Zhang, Chaolong ; Yang, Fengjian ; Chen, Liang ; Li, Wei
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
Abstract :
In this paper, a class of BAM neural networks with impulses is studied on time scales. Some sufficient conditions of global exponential stability of the equilibrium point with impulses are obtained. At last, we give an example to demonstrate the effectiveness of the obtained results.
Keywords :
asymptotic stability; neural nets; time-varying systems; BAM neural networks; global exponential stability; mpulses; time scales; varying coefficient; Agriculture; Artificial neural networks; Asymptotic stability; Delay; Equations; Neurons; Stability criteria; global exponential stability; impulse; neural networks; time scales;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554550
