Title :
Global asymptotic stability of delay bam neural networks with impulses based on matrix theory
Author :
Cui, Bao-Tong ; Lou, Xu-Yang ; Huang, Min
Author_Institution :
Res. Center of Control Sci. & Eng., Southern Yangtze Univ., Jiangsu, China
Abstract :
By constructing suitable Lyapunov functional and using matrix theory, the global asymptotic stability of delay bi-directional associative memory neural networks with impulses is studied. This paper gives a sufficient condition which is independent with the delayed quantity for the global asymptotic stability of these networks. An illustrative example is given to demonstrate the effectiveness of the obtained results.
Keywords :
Lyapunov matrix equations; asymptotic stability; delays; neural nets; Lyapunov functional; bidirectional associative memory neural networks; delay bam neural networks; global asymptotic stability; matrix theory; Associative memory; Asymptotic stability; Bidirectional control; Delay effects; Electronic mail; Lyapunov method; Machine learning; Magnesium compounds; Neural networks; Sufficient conditions; Bi-directional associative memory; delay; global asymptotic stability; impulse; lyapunov functional; matrix theory;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527643
