Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5775484 | Applied Mathematics and Computation | 2017 | 12 Pages |
Abstract
This paper is dealt with the problem of exponential synchronization for chaotic neural networks with time-varying delay by using intermittent output feedback control. Based on the Lyapunov-Krasovskii functional method and the lower bound lemma for reciprocally convex technique, a novel criterion for existence of the controller is first established to ensure synchronization between the master and slave systems. Moreover, from the delay point of view, the derived criterion is extended to the relaxed case because of introducing an adjustable parameter in the Lyapunov-Krasovskii functional. Finally, a numerical simulation is carried out to demonstrate the effectiveness of the proposed synchronization law.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Zhi-Ming Zhang, Yong He, Min Wu, Qing-Guo Wang,