Finite-Time and Fixed-Time Synchronization of Coupled Memristive Neural Networks With Time Delay.

abstract

• This article is devoted to analyzing the finite-time and fixed-time synchronization of coupled memristive neural networks with time delays. The synchronization is leaderless rather than leader-follower as the tracking targets are uncertain. By designing a proper controller and using the Lyapunov method, several sufficient conditions are obtained to achieve the finite-time and fixed-time synchronization of coupled memristive neural networks by introducing a class of special auxiliary matrices. Moreover, the settling times can be estimated for finite-time synchronization that depends on the initial values as well as fixed-time synchronization that is uniformly bounded for any initial values. Finally, two examples are presented to substantiate the effectiveness of the theoretical results.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Cybern

author list (cited authors)

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

citation count

• 44

complete list of authors

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

publication date

• June 2021

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Cybernetics  Journal

keywords

• Biological Neural Networks
• Couplings
• Delay Effects
• Finite-time Synchronization
• Fixed-time Synchronization
• Manganese
• Memristive Neural Network
• Synchronization
• Time Delay
• Topology

Digital Object Identifier (DOI)

• 10.1109/TCYB.2019.2953236

start page

• 2944

end page

• 2955

volume

• 51

issue

• 6

URL

• http://dx.doi.org/10.1109/tcyb.2019.2953236