This paper considers a type of multi-agent systems. The interactions among the individual agents are assumed to be universally repulsive and selectively attractive, so as to realize desired pattern formations in the systems by choosing appropriate coupling topologies. Specifically, it is shown that the system with symmetric couplings always displays convergent dynamics to steady-state formations. Whereas in asymmetric case the system exhibits more complex behavior, such as self-organized oscillations. It is also demonstrated numerically how to arrived at typical formations in a multi-agent system by assigning specific form of attractive coupling structures.EI
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term ...
Formation control is a classical problem and has been a prime topic of interest among the scientific...
We study the properties of emergent collective behavior in a system of interacting autonomous agents...
This paper considers a type of multi-agent systems. The interactions among the individual agents are...
In this article, a new type of multi-agent system model with mixed coupling topologies is proposed f...
This paper considers an anisotropic swarm model with an attraction/repulsion function. We study its ...
The Authors The behavior of heterogeneous multi-agent systems is studied when the coupling matrices ...
In the coordinated collective behaviors of biological swarms and flocks, the attractive/repulsive (A...
In this paper we present an ecologically-inspired approach to agent coordination. Mutualistic networ...
Clustering is a phenomenon that may emerge in multi-agent systems through self-organization: groups ...
Abstract — We study an anisotropic swarm model with a class of attraction and repulsion functions. I...
In this paper, we study aggregation in a swarm of simple robots, called s-bots, having the capabilit...
This paper considers an anisotropic swarm model that consists of a group of mobile autonomous agents...
Swarming, or aggregations of organisms in groups, can be found in nature in many organisms ranging f...
In many biological settings it is possible to observe phenomena of pattern formation and clustering ...
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term ...
Formation control is a classical problem and has been a prime topic of interest among the scientific...
We study the properties of emergent collective behavior in a system of interacting autonomous agents...
This paper considers a type of multi-agent systems. The interactions among the individual agents are...
In this article, a new type of multi-agent system model with mixed coupling topologies is proposed f...
This paper considers an anisotropic swarm model with an attraction/repulsion function. We study its ...
The Authors The behavior of heterogeneous multi-agent systems is studied when the coupling matrices ...
In the coordinated collective behaviors of biological swarms and flocks, the attractive/repulsive (A...
In this paper we present an ecologically-inspired approach to agent coordination. Mutualistic networ...
Clustering is a phenomenon that may emerge in multi-agent systems through self-organization: groups ...
Abstract — We study an anisotropic swarm model with a class of attraction and repulsion functions. I...
In this paper, we study aggregation in a swarm of simple robots, called s-bots, having the capabilit...
This paper considers an anisotropic swarm model that consists of a group of mobile autonomous agents...
Swarming, or aggregations of organisms in groups, can be found in nature in many organisms ranging f...
In many biological settings it is possible to observe phenomena of pattern formation and clustering ...
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term ...
Formation control is a classical problem and has been a prime topic of interest among the scientific...
We study the properties of emergent collective behavior in a system of interacting autonomous agents...