Abstract and Applied Analysis
- Abstr. Appl. Anal.
- Volume 2013, Special Issue (2013), Article ID 615947, 15 pages.
Sliding Intermittent Control for BAM Neural Networks with Delays
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.
Abstr. Appl. Anal., Volume 2013, Special Issue (2013), Article ID 615947, 15 pages.
First available in Project Euclid: 26 February 2014
Permanent link to this document
Digital Object Identifier
Mathematical Reviews number (MathSciNet)
Zentralblatt MATH identifier
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