Adaptive fixed-time output synchronization for complex dynamical networks with multi-weights. Academic Article

abstract

• This paper addresses fixed-time output synchronization problems for two types of complex dynamical networks with multi-weights (CDNMWs) by using two types of adaptive control methods. Firstly, complex dynamical networks with multiple state and output couplings are respectively presented. Secondly, several fixed-time output synchronization criteria for these two networks are formulated based on Lyapunov functional and inequality techniques. Thirdly, by employing two types of adaptive control methods, fixed-time output synchronization issues of these two networks are dealt with. At last, the analytical results are verified by two numerical simulations.

authors

• Huang, Tingwen

published proceedings

• Neural Netw

author list (cited authors)

• Cao, Y., Zhao, L., Zhong, Q., Wen, S., Shi, K., Xiao, J., & Huang, T.

citation count

• 0

complete list of authors

• Cao, Yuting||Zhao, Linhao||Zhong, Qishui||Wen, Shiping||Shi, Kaibo||Xiao, Jianying||Huang, Tingwen

publication date

• June 2023

publisher

• Elsevier  Publisher

published in

• Neural Networks  Journal

keywords

• Adaptive Control
• Algorithms
• Complex Dynamical Networks
• Fixed-time Output Synchronization
• Multiple Weights
• Neural Networks, Computer
• Time Factors

Digital Object Identifier (DOI)

• 10.1016/j.neunet.2023.03.032

start page

• 28

end page

• 39

volume

• 163

URL

• http://dx.doi.org/10.1016/j.neunet.2023.03.032