Finite-time synchronization of inertial memristive neural networks with time delay via delay-dependent control Academic Article

abstract

• 2018 Elsevier B.V. This paper is concerned with the finite-time synchronization problem of drive-response inertial memristive neural networks with time delay. First, by choosing suitable variable substitution, the original system can be transformed into the first order differential equations. Next, a delay-dependent controller is designed to ensure that finite-time synchronization can be achieved between drive system and response system based on finite time stability theory. Moreover, the settling time is estimated, and optimized based on the relationship between the settling time and parameter . Finally, an example is presented to substantiate the effectiveness for those theoretical results.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Guo, Z., Gong, S., & Huang, T.

citation count

• 76

complete list of authors

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

publication date

• June 2018

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Finite-time Synchronization
• Inertial
• Memristive Neural Network
• Settling Time
• Time Delay

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2018.03.004

start page

• 100

end page

• 107

volume

• 293

URL

• http://dx.doi.org/10.1016/j.neucom.2018.03.004