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