Passivity and Synchronization of Linearly Coupled Reaction-Diffusion Neural Networks With Adaptive Coupling. Academic Article

abstract

• In this paper, we study a general array model of coupled reaction-diffusion neural networks (NNs) with adaptive coupling. In order to ensure the passivity of the coupled reaction-diffusion neural networks, some adaptive strategies to tune the coupling strengths among network nodes are designed. By utilizing some inequality techniques and the designed adaptive laws, several sufficient conditions ensuring passivity are obtained. In addition, we reveal the relationship between passivity and synchronization of the coupled reaction-diffusion NNs. Based on the obtained passivity results and the relationship between passivity and synchronization, a global synchronization criterion is established. Finally, numerical simulations are presented to illustrate the correctness and effectiveness of the proposed results.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Cybern

author list (cited authors)

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

citation count

• 113

complete list of authors

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

publication date

• September 2015

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON CYBERNETICS  Journal

keywords

• Cortical Synchronization
• Models, Neurological
• Neural Networks, Computer

Digital Object Identifier (DOI)

• 10.1109/TCYB.2014.2362655

start page

• 1942

end page

• 1952

volume

• 45

issue

• 9

URL

• http://dx.doi.org/10.1109/tcyb.2014.2362655