Passivity-based synchronization of a class of complex dynamical networks with time-varying delay Academic Article

abstract

• 2015 Elsevier Ltd. All rights reserved. This paper proposes a complex delayed dynamical network consisting of N linearly and diffusively coupled identical reaction-diffusion neural networks. By utilizing some inequality techniques, a sufficient condition ensuring the output strict passivity is derived for the proposed network model. Then, we reveal the relationship between output strict passivity and synchronization of the proposed network model. Moreover, based on the obtained passivity result and the relationship between output strict passivity and synchronization, a criterion for synchronization is established. Finally, a numerical example is provided to illustrate the correctness and effectiveness of the proposed results.

authors

• Huang, Tingwen

published proceedings

• AUTOMATICA

altmetric score

• 0.25

author list (cited authors)

• Wang, J., Wu, H., & Huang, T.

citation count

• 178

complete list of authors

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

publication date

• June 2015

publisher

• Elsevier  Publisher

published in

• Automatica  Journal

keywords

• Complex Networks
• Passivity
• Reaction-diffusion Neural Networks
• Synchronization
• Time-varying Delay

Digital Object Identifier (DOI)

• 10.1016/j.automatica.2015.03.027

start page

• 105

end page

• 112

volume

• 56

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.automatica.2015.03.027