Global asymptotic stability analysis of bidirectional associative memory neural networks with distributed delays and impulse

Zai-Tang Huang, Xiao-Shu Luo and Qi-Gui Yang

Chaos, Solitons & Fractals, 2007, vol. 34, issue 3, 878-885

Abstract: Many systems existing in physics, chemistry, biology, engineering and information science can be characterized by impulsive dynamics caused by abrupt jumps at certain instants during the process. These complex dynamical behaviors can be model by impulsive differential system or impulsive neural networks. This paper formulates and studies a new model of impulsive bidirectional associative memory (BAM) networks with finite distributed delays. Several fundamental issues, such as global asymptotic stability and existence and uniqueness of such BAM neural networks with impulse and distributed delays, are established.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:34:y:2007:i:3:p:878-885

DOI: 10.1016/j.chaos.2006.03.112

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