Open Access
2013 Sliding Intermittent Control for BAM Neural Networks with Delays
Jianqiang Hu, Jinling Liang, Hamid Reza Karimi, Jinde Cao
Abstr. Appl. Anal. 2013(SI40): 1-15 (2013). DOI: 10.1155/2013/615947


This paper addresses the exponential stability problem for a class of delayed bidirectional associative memory (BAM) neural networks with delays. A sliding intermittent controller which takes the advantages of the periodically intermittent control idea and the impulsive control scheme is proposed and employed to the delayed BAM system. With the adjustable parameter taking different particular values, such a sliding intermittent control method can comprise several kinds of control schemes as special cases, such as the continuous feedback control, the impulsive control, the periodically intermittent control, and the semi-impulsive control. By using analysis techniques and the Lyapunov function methods, some sufficient criteria are derived for the closed-loop delayed BAM neural networks to be globally exponentially stable. Finally, two illustrative examples are given to show the effectiveness of the proposed control scheme and the obtained theoretical results.


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Jianqiang Hu. Jinling Liang. Hamid Reza Karimi. Jinde Cao. "Sliding Intermittent Control for BAM Neural Networks with Delays." Abstr. Appl. Anal. 2013 (SI40) 1 - 15, 2013.


Published: 2013
First available in Project Euclid: 26 February 2014

zbMATH: 07095170
MathSciNet: MR3073437
Digital Object Identifier: 10.1155/2013/615947

Rights: Copyright © 2013 Hindawi

Vol.2013 • No. SI40 • 2013
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