DocumentCode :
1700092
Title :
Global exponential stability of BAM type Cohen-Grossberg neural network with delays and impulsive on time scales
Author :
Qin, Zunyue ; Zhang, Chaolong ; Hu, Xiaojian ; Yang, Jianfu
Author_Institution :
Coll. of Inf. Manage. & Eng., JiShou Univ., Jishou, China
fYear :
2010
Firstpage :
1268
Lastpage :
1272
Abstract :
By Lyapunov function and Halanay inequality etc., a class of the BAM type Cohen-Grossberg neural network with delays and impulsive is considered on time scales. It obtained some sufficient conditions about the existence of equilibrium point, globally exponential stability and globally exponentially robust stability. We can see the impulses do contribution to the exponential stability and robust stability. At last, some applications and examples can be demonstrate the results.
Keywords :
Lyapunov methods; asymptotic stability; content-addressable storage; delays; impulse noise; neural nets; BAM; Cohen-Grossberg neural network; Halanay inequality; Lyapunov function; bidirectional associative memory; delays; global exponential stability; global robust stability; impulsive; time scales; Agriculture; Artificial neural networks; Associative memory; Delay; Equations; Fractals; Stability criteria; Cohen-Grossberg BAM neural network; Lyapunov function; time scales;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554923
Filename :
5554923
Link To Document :
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