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Swarming behaviors in multi-agent systems with nonlinear dynamics

By W Yu, G Chen, M Cao, J Lu and H Zhang

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

Topics: Signal Processing, Control Systems, Robotics and Automation, TIME-VARYING DELAY, NEURAL-NETWORKS, GLOBAL SYNCHRONIZATION, CHANGING ENVIRONMENT, STABILITY ANALYSIS, CONSENSUS, GRAPHS, AGENTS, MODEL, COMMUNICATION
Publisher: American Institute of Physics (United States)
Year: 2013
OAI identifier: oai:researchbank.rmit.edu.au:rmit:24031
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