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Exponential stability of BAM neural networks with delays via joint periodically intermittent and impulsive control
HU Jian-Qiang,LIANG Jin-Ling *
Department of Mathematics, Southeast University, Nanjing 210096
*Correspondence author
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Funding: The Specialized Research Fund for the Doctoral Program of Higher Education for New Teachers in China (No.200802861044)
Opened online:13 January 2012
Accepted by: none
Citation: HU Jian-Qiang,LIANG Jin-Ling.Exponential stability of BAM neural networks with delays via joint periodically intermittent and impulsive control[OL]. [13 January 2012] http://en.paper.edu.cn/en_releasepaper/content/4459879
 
 
The exponetial stabilization problem for a class of bidirectional associative memory (BAM) neural networks with discrete delays by the joint periodically intermittent control and impulsive control scheme is investigated, meanwhile the Lipschitzian activation functions in the system do not have to assume their boundedness, monotonicity or differentiability. Some sufficient criteria for global exponential stability are derived by using analysis techniques and Lyapunov function. Finally, a illustrative example is given at the end of this paper to show the effectiveness of our results.
Keywords:Bidirectional associative memory neural networks; Periodically intermittent control; Impulsive control.
 
 
 

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