DocumentCode :
475137
Title :
Exponential stability of bidirectional associative memory neural networks with distributed delays and impulsive
Author :
Zhang, Chaolong ; Yang, Fengjian ; Wu, Dongqing ; Yang, Jianfu
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Technol., Guangzhou
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
769
Lastpage :
773
Abstract :
Some sufficient conditions are obtained for the global exponential stability of a solution and existence of the periodic solution to the general bidirectional associative memory (BAM) neural networks with distributed delay and impulsive by using the Lyapunov functional and some inequality technique. These results are helpful for designing a globally exponential stable and periodic oscillatory BAM neural network, and the conditions can be easily applied in practice. An example is also given to illustrate our results.
Keywords :
Lyapunov methods; asymptotic stability; content-addressable storage; delays; neural nets; Lyapunov function; bidirectional associative memory; distributed delays; globally exponential stable BAM neural network design; impulsive system; inequality technique; periodic oscillatory BAM neural network design; Agriculture; Artificial neural networks; Associative memory; Chaos; Computer networks; Delay effects; Distributed computing; Magnesium compounds; Neural networks; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4597417
Filename :
4597417
Link To Document :
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