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Adaptive Flocking Control with a Minority of Informed Agents
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AbstractIn this paper, we address the flocking problem of multiple dynamic mobile agents with a virtual leader in a dynamic proximity network. To avoid fragmentation, we propose a novel flocking algorithm that consists of both an adaptive controller for followers and a feedback controller for the virtual leader. Based on our algorithm, all agents in the group can form a network, maintain connectivity, and track the virtual leader, even when only a minority of agents have access to the information of the virtual leader. Finally, several convincing simulation results are provided that demonstrate 2‐Dflocking of a group of agents using the proposed algorithm.
Title: Adaptive Flocking Control with a Minority of Informed Agents
Description:
AbstractIn this paper, we address the flocking problem of multiple dynamic mobile agents with a virtual leader in a dynamic proximity network.
To avoid fragmentation, we propose a novel flocking algorithm that consists of both an adaptive controller for followers and a feedback controller for the virtual leader.
Based on our algorithm, all agents in the group can form a network, maintain connectivity, and track the virtual leader, even when only a minority of agents have access to the information of the virtual leader.
Finally, several convincing simulation results are provided that demonstrate 2‐Dflocking of a group of agents using the proposed algorithm.
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