Finite-time synchronization of multi-weighted complex networks with unknown couplings

This paper focuses on the finite-time synchronization of multi-weighted complex networks. An adaptive integral error term is developed to treat unknown couplings. A proportional integral control strategy with chattering suppression is proposed to achieve finite-time synchronization. A sufficient criterion is built via the Lyapunov stability theory and the finite-time stability lemma. The effectiveness of the proposed adaptive method is verified through a numerical example.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Published
2025-11-08
DOI
https://doi.org/10.1177/09596518251383206
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Finite-time synchronization of multi-weighted complex networks with unknown couplings

Mouquan Shen, Zhihao Zhang, Bin Zhang, Zheng Hong Zhu et al.
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Neural Networks Stability and Synchronization
article

Finite-time synchronization of multi-weighted complex networks with unknown couplings

Mouquan Shen, Zhihao Zhang, Bin Zhang, Zheng Hong Zhu, Wen Qin
article en

Abstract

This paper focuses on the finite-time synchronization of multi-weighted complex networks. An adaptive integral error term is developed to treat unknown couplings. A proportional integral control strategy with chattering suppression is proposed to achieve finite-time synchronization. A sufficient criterion is built via the Lyapunov stability theory and the finite-time stability lemma. The effectiveness of the proposed adaptive method is verified through a numerical example.

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control EngineeringVol. 240(1)
Nanjing Tech University (CN), York University (CA)
Openalex Percentile: Top 61%
Neural Networks Stability and Synchronization
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