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This study studies the consensus of multi-agent systems on time-varying network topologies. It is shown that this consensus reaching is equivalent to the corresponding weak ergodicity of the Markov process. A very mild sufficient condition of the consensus reaching that allows the communication among agents to be time-dependent and directed is obtained by estimating the Dobrushin coefficient of ergodicity...
In this paper we consider the aggregation problem for the agents with finite size body. Each agent is modeled as a (hyper-)sphere with first-order dynamics. A theory is established for analysis to the problem of cohesion with collision avoidance. Explosion and broken phenomenon is observed in simulation, some robust indices are proposed to investigate the phenomenon.
The complex adaptive systems (CAS) is a new theory with the goal to study how complex behaviors emerge in systems of relatively simple interacting individuals. The CAS is also a multi-agent system, and learning ability is a crucial characteristic of adaptive agents. This paper explores the learning agent model with Petri nets by considering both the macrostructure and microstructure for complex adaptive...
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