4.7 Article

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

期刊

NEURAL NETWORKS
卷 163, 期 -, 页码 28-39

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2023.03.032

关键词

Adaptive control; Complex dynamical networks; Fixed-time output synchronization; Multiple weights

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This paper addresses the fixed-time output synchronization problems for two types of complex dynamical networks with multi-weights (CDNMWs) by using two types of adaptive control methods. The networks with multiple state and output couplings are presented, and fixed-time output synchronization criteria are formulated based on Lyapunov functional and inequality techniques. The fixed-time output synchronization issues of these networks are dealt with using the two types of adaptive control methods. The analytical results are verified by two numerical simulations.
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. (c) 2023 Elsevier Ltd. All rights reserved.

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