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author:

Yao, Caibin (Yao, Caibin.) [1] | Qi, Yiwen (Qi, Yiwen.) [2] | Qu, Ziyu (Qu, Ziyu.) [3] | Wang, Wu (Wang, Wu.) [4] | Zheng, Zonghua (Zheng, Zonghua.) [5]

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Abstract:

This paper is concerned with the consensus of multi-agent systems (MASs) in the presence of fading channels and limited communication bandwidth. These issues will lead to inaccurate and energy constraints of communication data respectively, which will not be possible for MASs to achieve consensus. To this end, this paper proposes a variable structure encoding-decoding scheme (VS-EDS), which includes an encoder with a unitary signal generator and a corresponding decoder with an adaptive activation module. The advantages of the proposed VS-EDS are mainly in three aspects. First, it avoids the need for existing methods to perform a large amount of statistical work on the statistics of fading gains before the system runs. Second, it can eliminate the communication errors caused by fading. At the same time, it can adapt to the changing communication network environment. In addition, in order to achieve consensus control, a distributed protocol based on the VS-EDS is designed. Finally, the feasibility and effectiveness of the VS-EDS are demonstrated through comparative simulations. © 2025 Elsevier Inc.

Keyword:

Channel coding Decoding Encoding (symbols) Fading channels Multi agent systems Signal encoding

Community:

  • [ 1 ] [Yao, Caibin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Qi, Yiwen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Qu, Ziyu]School of Automation, Shenyang Aerospace University, Shenyang; 110136, China
  • [ 4 ] [Wang, Wu]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Zheng, Zonghua]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

Applied Mathematics and Computation

ISSN: 0096-3003

Year: 2026

Volume: 510

3 . 5 0 0

JCR@2023

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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