New results on anti-synchronization of switched neural networks with time-varying delays and lag signals. Academic Article

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.

authors

• Huang, Tingwen

published proceedings

• Neural Netw

author list (cited authors)

• Cao, Y., Wen, S., Chen, M., Huang, T., & Zeng, Z.

citation count

• 21

complete list of authors

• Cao, Yuting||Wen, Shiping||Chen, Michael ZQ||Huang, Tingwen||Zeng, Zhigang

publication date

• September 2016

publisher

• Elsevier  Publisher

published in

• Neural Networks  Journal

keywords

• Algorithms
• Anti-synchronization
• Computer Security
• Computer Simulation
• Exponential Stability
• Neural Networks, Computer
• Neurons
• Nonlinear Dynamics
• Switched Neural Networks
• Time Factors

PubMed Central ID

• 27295505

Digital Object Identifier (DOI)

• 10.1016/j.neunet.2016.05.004

start page

• 52

end page

• 58

volume

• 81

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.neunet.2016.05.004