Adaptive Finite-Time Synchronization of Neutral Type Dynamical Network with Double Derivative Coupling

This paper discusses the problem of adaptive finite-time synchronization for neutral type dynamical network model with double derivative coupling. Based on the Lyapunov functional theory, inequality theorem, and adaptive control technique, some synchronization criteria of neutral type dynamical netw...

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Bibliographic Details
Published inNeural processing letters Vol. 48; no. 2; pp. 1175 - 1186
Main Authors Xu, Yuhua, Zhou, Wuneng, Lu, Hongqian, Xie, Chengrong, Tong, Dongbing
Format Journal Article
LanguageEnglish
Published New York Springer US 01.10.2018
Springer Nature B.V
Subjects
Adaptive control
Artificial Intelligence
Complex Systems
Computational Intelligence
Computer Science
Coupling
Criteria
Inequality
Mathematical models
Neural networks
Simulation
Time synchronization
Neutral type dynamical network
Finite-time synchronization
Double derivative coupling
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Summary:This paper discusses the problem of adaptive finite-time synchronization for neutral type dynamical network model with double derivative coupling. Based on the Lyapunov functional theory, inequality theorem, and adaptive control technique, some synchronization criteria of neutral type dynamical network are established by using adaptive finite-time control, which is different from the existence of finite-time synchronization of neutral type network using LMI and matrix equality constraint methods. Moreover, when the dynamics nodes of the neutral type network contain delay or no delay, the control gain of the response network are also provided. Finally, the effectiveness of the synchronization criteria proposed in this paper is verified by numerical simulations.
ISSN:1370-4621
1573-773X
DOI:10.1007/s11063-017-9772-6