Pinning Control for Synchronization of Coupled Reaction-Diffusion Neural Networks With Directed Topologies Academic Article

abstract

• 2013 IEEE. This paper proposes a directed complex dynamical network consisting of {N} linearly and diffusively coupled identical reaction-diffusion neural networks. Based on the Lyapunov functional method and the pinning control technique, some sufficient conditions are obtained to guarantee the synchronization of the proposed network model. In addition, an adaptive strategy is proposed to obtain appropriate coupling strength for achieving network synchronization. Furthermore, the pinning adaptive synchronization problem is also investigated in this paper, and a general criterion for ensuring network synchronization is established. Finally, a numerical example is provided to illustrate the effectiveness of the proposed criteria.

authors

• Huang, Tingwen

published proceedings

• IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

author list (cited authors)

• Wang, J., Wu, H., Huang, T., Ren, S., & Wu, J.

citation count

• 173

complete list of authors

• Wang, Jin-Liang||Wu, Huai-Ning||Huang, Tingwen||Ren, Shun-Yan||Wu, Jigang

publication date

• August 2016

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Systems, Man, and Cybernetics: Systems  Journal

keywords

• Complex Networks
• Lyapunov Functional
• Pinning Control
• Synchronization

Digital Object Identifier (DOI)

• 10.1109/TSMC.2015.2476491

start page

• 1109

end page

• 1120

volume

• 46

issue

• 8

URL

• http://dx.doi.org/10.1109/tsmc.2015.2476491