Distributed event‐based flocking control for multi‐agent systems with network connectivity‐preserving mechanism

Abstract In this paper, the flocking control of multi‐agent systems (MASs) with connectivity‐preserving is investigated under dynamic topology scenarios. First of all, to avoid the fragmentation of flocking, a novel network connectivity‐preserving mechanism based on an improved potential function is constructed without requiring the connectivity of the original topology. Meanwhile, the introduction of hysteresis distance effectively avoids frequent switching of network topology. Secondly, the distributed event‐triggered controller is constructed. The scheme consists of two parts, including the communication protocol via a network connectivity‐preserving mechanism and the flocking consensus condition with an exponential‐decay term. It is demonstrated that the velocities of all agents achieve consensus and no collisions occur under the designed control scheme. Meanwhile, the Zeno behavior is excluded. Ultimately, the effectiveness of the control strategy is demonstrated by numerical examples and software experiments.

Authors

Institutions

Publication Details

Journal
Asian Journal of Control
Published
2025-12-02
DOI
https://doi.org/10.1002/asjc.70023
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distributed event‐based flocking control for multi‐agent systems with network connectivity‐preserving mechanism

Chengqing Liang, Xiuhui Peng, Lei Liu, Dongmei Yan et al.
Asian Journal of Control
Distributed Control Multi-Agent Systems
article

Distributed event‐based flocking control for multi‐agent systems with network connectivity‐preserving mechanism

Chengqing Liang, Xiuhui Peng, Lei Liu, Dongmei Yan, Shiping Wen
article en

Abstract

Abstract In this paper, the flocking control of multi‐agent systems (MASs) with connectivity‐preserving is investigated under dynamic topology scenarios. First of all, to avoid the fragmentation of flocking, a novel network connectivity‐preserving mechanism based on an improved potential function is constructed without requiring the connectivity of the original topology. Meanwhile, the introduction of hysteresis distance effectively avoids frequent switching of network topology. Secondly, the distributed event‐triggered controller is constructed. The scheme consists of two parts, including the communication protocol via a network connectivity‐preserving mechanism and the flocking consensus condition with an exponential‐decay term. It is demonstrated that the velocities of all agents achieve consensus and no collisions occur under the designed control scheme. Meanwhile, the Zeno behavior is excluded. Ultimately, the effectiveness of the control strategy is demonstrated by numerical examples and software experiments.

Asian Journal of Control
University of Technology Sydney (AU), Hohai University (CN), Nanjing University of Posts and Telecommunications (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 57%
Distributed Control Multi-Agent Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Distributed event‐based flocking control for multi‐agent systems with network connectivity‐preserving mechanism — Chengqing Liang, Xiuhui Peng, et al. · Asian Journal of Control (2025) | TGRS Research Map | TGRS