New results on anti-synchronization of switched neural networks with time-varying delays and lag signals. (September 2016)

• Record Type: Journal Article
• Authors: Cao, Yuting; Wen, Shiping; Chen, Michael Z.Q.; Huang, Tingwen; Zeng, Zhigang
• Is Part Of: Neural networks. Volume 81(2016)
• Page Start: 52
• Page End: 58
• Publication Date: 2016-09
• Subjects: Exponential stability -- Switched neural networks -- Anti-synchronization; Neural computers -- Periodicals; Neural networks (Computer science) -- Periodicals; Neural networks (Neurobiology) -- Periodicals; Nervous System -- Periodicals; Ordinateurs neuronaux -- Périodiques; Réseaux neuronaux (Informatique) -- Périodiques; Réseaux neuronaux (Neurobiologie) -- Périodiques; Neural computers; Neural networks (Computer science); Neural networks (Neurobiology); Periodicals; 006.32
• DOI: 10.1016/j.neunet.2016.05.004
• Languages: English
• ISSNs: 0893-6080

Abstract

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.