General decay synchronization of delayed BAM neural networks via nonlinear feedback control

Malika Sader, Abdujelil Abdurahman and Haijun Jiang

Applied Mathematics and Computation, 2018, vol. 337, issue C, 302-314

Abstract: This paper studies the general decay synchronization of a class of bidirectional associative memory neural networks with time-varying delays. First, a useful lemma which generalizes the classical exponential synchronization and polynomial synchronization is introduced. Then by using this lemma, some simple sufficient criteria ensuring the general decay synchronization of considered bidirectional associative memory neural networks are obtained via designing a novel nonlinear feedback controller and using some inequality techniques. Finally, two numerical examples are provided to demonstrate the feasibility of the established theoretical results. The results of this paper are general since the classical polynomial synchronization and exponential synchronization can be seen the special cases of general decay synchronization.

Keywords: BAM neural network; General decay synchronization; Nonlinear feedback control; Time-varying delay (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:337:y:2018:i:c:p:302-314

DOI: 10.1016/j.amc.2018.05.046

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