Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8900720 | Applied Mathematics and Computation | 2018 | 13 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Malika Sader, Abdujelil Abdurahman, Haijun Jiang,