Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
403988 | Neural Networks | 2016 | 7 Pages |
Abstract
This paper investigates the problem of global exponential anti-synchronization of a class of switched neural networks with time-varying delays and lag signals. Considering the packed circuits, the controller is dependent on the output of the system as the inner states are very hard to measure. Therefore, it is necessary to investigate the controller based on the output of the neuron cell. Through theoretical analysis, it is obvious that the obtained ones improve and generalize the results derived in the previous literature. To illustrate the effectiveness, a simulation example with applications in image encryptions is also presented in the paper.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yuting Cao, Shiping Wen, Michael Z.Q. Chen, Tingwen Huang, Zhigang Zeng,