二阶自走群系统的空间内聚性研究

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED
Constantine Medynets, Irina Popovici
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引用次数: 2

摘要

蜂群涌现行为的研究是应用科学研究的热点。自组织群体的一个最基本的问题是群体是分散还是保持在一个空间内聚的结构中。本文研究了受该模型支配的自走粒子群的耗散性和空间内聚性,其中,为对称正半定矩阵。假设自推进项是连续可微的,并且增长速度快于,即。我们确定粒子的速度和加速度最终是有界的。我们证明当是平凡的,粒子的位置最终也是有界的。对于具有的系统,我们表明,当系统可能无限地远离其初始位置时,粒子保持在距离系统广义质心的有限距离内,该距离在几何上与代理位置的加权平均值一致。权值由投影矩阵的系数决定。我们还讨论了有界耦合系统的最终有界性,包括莫尔斯势系统和具有强斥力的幂律势控制的系统。我们证明了前一种系统最终在速度-加速度域中是有界的,而基于幂律势的模型则不是。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Spatial Cohesiveness of Second-Order Self-Propelled Swarming Systems
The study of emergent behavior of swarms is of great interest for applied sciences. One of the most fundamental questions for self-organizing swarms is whether the swarms disperse or remain in a spatially cohesive configuration. In this paper we study dissipativity properties and spatial cohesiveness of the swarm of self-propelled particles governed by the model , where , , and is a symmetric positive semidefinite matrix. The self-propulsion term is assumed to be continuously differentiable and to grow faster than , that is, as . We establish that the velocity and acceleration of the particles are ultimately bounded. We show that when is trivial, the positions of the particles are also ultimately bounded. For systems with , we show that, while the system might infinitely drift away from its initial location, the particles remain within a bounded distance from the generalized center of mass of the system, which geometrically coincides with the weighted average of agent positions. The weights are determined by the coefficients of the projection matrix onto . We also discuss the ultimate boundedness for systems with bounded coupling, including the Morse potential systems, and systems governed by power-law potentials with strong repulsion properties. We show that the former systems are ultimately bounded in the velocity-acceleration domain, whereas the models based on the power-law potentials are not.
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
79
审稿时长
12 months
期刊介绍: SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.
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