Passivity and Synchronization of Coupled Uncertain Reaction-Diffusion Neural Networks With Multiple Time Delays.

abstract

• This paper presents a complex network model consisting of N uncertain reaction-diffusion neural networks with multiple time delays. We analyze the passivity and synchronization of the proposed network model and derive several passivity and synchronization criteria based on some inequality techniques. In addition, by considering the difficulty in achieving passivity (synchronization) in such a network, an adaptive control scheme is also developed to ensure that the proposed network achieves passivity (synchronization). Finally, we design two numerical examples to verify the effectiveness of the derived passivity and synchronization criteria.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Neural Netw Learn Syst

altmetric score

• 0.25

author list (cited authors)

• Wang, J., Qin, Z., Wu, H., & Huang, T.

citation count

• 48

complete list of authors

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

publication date

• August 2019

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Neural Networks and Learning Systems  Journal

keywords

• Computer Simulation
• Neural Networks, Computer
• Time Factors
• Uncertainty

PubMed Central ID

• 30596589

Digital Object Identifier (DOI)

• 10.1109/TNNLS.2018.2884954

start page

• 2434

end page

• 2448

volume

• 30

issue

• 8

URL

• http://dx.doi.org/10.1109/tnnls.2018.2884954