THE COLLISION-AVOIDING FINITE-TIME FLOCKING OF A CUCKER-SMALE MODEL WITH PINNING CONTROL AND EXTERNAL PERTURBATION

The Cucker-Smale model plays a vital role in analyzing flocking behavior. To investigate the impact of pinning control and external perturbation on finite-time flocking behavior, a modified Cucker-Smale model that incorporates these factors is proposed in this paper. Initially, by imposing appropriate restrictions on external perturbation, the system can achieve finite-time flocking, and the upper bound of settling time is derived explicitly. Subsequently, a new sufficient condition is given to ensure collision-avoiding during the flocking process. The results show that the convergence time depends on control parameters and the convergence speed of the perturbation. Lastly, numerical simulations are provided to illustrate the derived results.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240273
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
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article

THE COLLISION-AVOIDING FINITE-TIME FLOCKING OF A CUCKER-SMALE MODEL WITH PINNING CONTROL AND EXTERNAL PERTURBATION

Qiming Liu, Jiangyan He, Jianlong Ren
Journal of Applied Analysis & Computation
Modular Robots and Swarm Intelligence
article

THE COLLISION-AVOIDING FINITE-TIME FLOCKING OF A CUCKER-SMALE MODEL WITH PINNING CONTROL AND EXTERNAL PERTURBATION

Qiming Liu, Jiangyan He, Jianlong Ren
article en

Abstract

The Cucker-Smale model plays a vital role in analyzing flocking behavior. To investigate the impact of pinning control and external perturbation on finite-time flocking behavior, a modified Cucker-Smale model that incorporates these factors is proposed in this paper. Initially, by imposing appropriate restrictions on external perturbation, the system can achieve finite-time flocking, and the upper bound of settling time is derived explicitly. Subsequently, a new sufficient condition is given to ensure collision-avoiding during the flocking process. The results show that the convergence time depends on control parameters and the convergence speed of the perturbation. Lastly, numerical simulations are provided to illustrate the derived results.

Journal of Applied Analysis & ComputationVol. 15(3)
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