Synchronization control for memristive high-order competitive neural networks with time-varying delay Academic Article

abstract

• 2019 Elsevier B.V. This paper concerns the synchronization problem of memristive high-order competitive neural networks with time-varying delay. First, a novel control scheme with a linear term and a discontinuous term is proposed. Then, based on the Lyapunov stability theory, several criteria with algebraic form or matrix form are derived to ensure global exponential synchronization of the networks by adopting some inequality techniques. Finally, two numerical examples are presented to substantiate the effectiveness of the results.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Gong, S., Guo, Z., Wen, S., & Huang, T.

citation count

• 3

complete list of authors

• Gong, Shuqing||Guo, Zhenyuan||Wen, Shiping||Huang, Tingwen

publication date

• October 2019

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Competitive Neural Network
• Global Exponential Synchronization
• High-order
• Memristor
• Time-varying Delay

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2019.06.049

start page

• 295

end page

• 305

volume

• 363

URL

• http://dx.doi.org/10.1016/j.neucom.2019.06.049