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Self-organization in a group of mobile autonomous agents
TLDR
In this paper, the authors considered a discrete time swarm model of a group of mobile autonomous agents with a simple attraction and repulsion function for swarm aggregation and investigated its stability properties.Abstract:
This paper considers a discrete time swarm model of a group of mobile autonomous agents with a simple attraction and repulsion function for swarm aggregation and investigates its stability properties. In particular, it is proved that the individuals (members) of the swarm will aggregate and form a cohesive cluster of a finite size depending only on the parameters of the swarm model in a finite time, and the swarm system is completely stable.read more
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Aggregation of foraging swarms
TL;DR: The model in this paper is more general than isotropic swarms and its results provide further insight into the effect of the interaction pattern on individual motion in a swarm system.
Book ChapterDOI
Aggregation of foraging swarms
TL;DR: In this article, the authors considered an anisotropic swarm model with an attraction/repulsion function and studied its aggregation properties, showing that the swarm members will aggregate and eventually form a cohesive cluster of finite size around the swarm center.
Proceedings ArticleDOI
Flocking Control of Groups of Mobile Autonomous Agents Via Local Feedback
Long Wang,Hong Shi,Tianguang Chu +2 more
TL;DR: A set of coordination control laws are introduced that enable the group of mobile autonomous agents moving in Euclidean space with point mass dynamics to generate the desired stable flocking motion.
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Coordination of Multiple Dynamic Agents with Asymmetric Interactions
TL;DR: This paper considers multiple mobile agents moving in Euclidean space with point mass dynamics and with asymmetric coupling weights using a coordination control scheme, and shows that the velocity of the center of mass (CoM) is invariant and is equal to the final common velocity.
Proceedings ArticleDOI
Coordination of Multiple Dynamic Agents with Asymmetric Interactions
Hong Shi,Long Wang,Tianguang Chu +2 more
TL;DR: In this article, the authors considered multiple mobile agents moving in Euclidean space with point mass dynamics and with asymmetric coupling weights and used a coordination control scheme to make the group generate stable flocking motion.
References
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Journal ArticleDOI
Coordination of groups of mobile autonomous agents using nearest neighbor rules
Ali Jadbabaie,Jie Lin,A.S. Morse +2 more
TL;DR: A theoretical explanation for the observed behavior of the Vicsek model, which proves to be a graphic example of a switched linear system which is stable, but for which there does not exist a common quadratic Lyapunov function.
Journal ArticleDOI
Stability analysis of swarms
Veysel Gazi,Kevin M. Passino +1 more
TL;DR: It is shown that the individuals (autonomous agents or biological creatures) will form a cohesive swarm in a finite time and an explicit bound on the swarm size is obtained, which depends only on the parameters of the swarm model.
Journal ArticleDOI
Dynamical aspects of animal grouping: Swarms, schools, flocks, and herds
Akira Okubo,Akira Okubo +1 more
TL;DR: An attempt is made to describe the motion of grouping individuals kinematically as distinct from simple diffusion or random walk, to model the grouping on the basis of dynamics of animal motion, and to interpret the grouping from the standpoint of advection-diffusion processes.
Journal ArticleDOI
Distributed Anonymous Mobile Robots: Formation of Geometric Patterns
Ichiro Suzuki,Masafumi Yamashita +1 more
Abstract: In this note we make a minor correction to a scheme for robots to broadcast their private information. All major results of the paper [I. Suzuki and M. Yamashita, SIAM J. Comput., 28 (1999), pp. 1347-1363] hold with this correction.
Journal ArticleDOI
A Comparision of Spacing and Headway Control Laws for Automatically Controlled Vehicles1
TL;DR: In this article, the authors investigated two different longitudinal control policies for automatically controlled vehicles, one is based on maintaining a constant spacing between the vehicles while the other is based upon maintaining the constant headway (or time) between successive vehicles.