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author:

Liu, Yan (Liu, Yan.) [1] | Han, Haoming (Han, Haoming.) [2] | Wu, Di (Wu, Di.) [3] | Zhou, Hui (Zhou, Hui.) [4]

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Abstract:

The synchronization of stochastic multi-weighted coupled systems with semi-Markov jump is investigated via asynchronously intermittent sampled-data decentralized control (AISDC). It is worth noting that semi-Markov jump is considered to make systems deal with complex changes in practice. Moreover, AISDC is first designed to overcome the weaknesses of simple intermittent control or sampled-data control, which can avoid potential traffic congestion and decrease control cost. Based on this novel controller, the sufficient conditions of synchronization are presented by combining the graph theory and the Lyapunov method. Moreover, theoretical results are applied to coupled Chua's circuits with multiple weights and semi-Markov jump as well as the synchronization criteria are presented. Finally, the validity of the obtained results is verified by numerical simulations. © 2025 Elsevier B.V.

Keyword:

Coupled circuits Decentralized control Graph theory Lyapunov methods Markov processes Stochastic control systems Stochastic systems Synchronization Traffic congestion

Community:

  • [ 1 ] [Liu, Yan]Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems, School of Computer Science and Technology, Tiangong University, Tianjin; 300387, China
  • [ 2 ] [Han, Haoming]Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems, School of Computer Science and Technology, Tiangong University, Tianjin; 300387, China
  • [ 3 ] [Wu, Di]Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems, School of Computer Science and Technology, Tiangong University, Tianjin; 300387, China
  • [ 4 ] [Zhou, Hui]College of Computer and Data Science, Fuzhou University, Fuzhou; 350108, China

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Source :

Communications in Nonlinear Science and Numerical Simulation

ISSN: 1007-5704

Year: 2026

Volume: 152

3 . 4 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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