Abstract and Applied Analysis

Sliding Intermittent Control for BAM Neural Networks with Delays

Jianqiang Hu, Jinling Liang, Hamid Reza Karimi, and Jinde Cao

Full-text: Open access

Abstract

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.

Article information

Source
Abstr. Appl. Anal., Volume 2013, Special Issue (2013), Article ID 615947, 15 pages.

Dates
First available in Project Euclid: 26 February 2014

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1393447715

Digital Object Identifier
doi:10.1155/2013/615947

Mathematical Reviews number (MathSciNet)
MR3073437

Zentralblatt MATH identifier
07095170

Citation

Hu, Jianqiang; Liang, Jinling; Karimi, Hamid Reza; Cao, Jinde. Sliding Intermittent Control for BAM Neural Networks with Delays. Abstr. Appl. Anal. 2013, Special Issue (2013), Article ID 615947, 15 pages. doi:10.1155/2013/615947. https://projecteuclid.org/euclid.aaa/1393447715


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