Swarming behaviors in multi-agent systems with nonlinear dynamics
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Original language | English |
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Article number | 43118 |
Journal / Publication | Chaos |
Volume | 23 |
Issue number | 4 |
Online published | 11 Nov 2013 |
Publication status | Published - Dec 2013 |
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-84891397081&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(c2b1e338-df74-4cb1-9280-b43089311031).html |
Abstract
The dynamic analysis of a continuous-time multi-agent swarm model with nonlinear profiles is investigated in this paper. It is shown that, under mild conditions, all agents in a swarm can reach cohesion within a finite time, where the upper bounds of the cohesion are derived in terms of the parameters of the swarm model. The results are then generalized by considering stochastic noise and switching between nonlinear profiles. Furthermore, swarm models with limited sensing range inducing changing communication topologies and unbounded repulsive interactions between agents are studied by switching system and nonsmooth analysis. Here, the sensing range of each agent is limited and the possibility of collision among nearby agents is high. Finally, simulation results are presented to demonstrate the validity of the theoretical analysis. © 2013 AIP Publishing LLC.
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Citation Format(s)
Swarming behaviors in multi-agent systems with nonlinear dynamics. / Yu, Wenwu; Chen, Guanrong; Cao, Ming et al.
In: Chaos, Vol. 23, No. 4, 43118, 12.2013.
In: Chaos, Vol. 23, No. 4, 43118, 12.2013.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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