Distributed goal assignment strategy for improving leader-following formation control performance
Yun Ho Choi, Doik Kim

TL;DR
This paper proposes a new distributed goal assignment strategy for leader-following formation control in multi-agent systems, improving control performance with theoretical analysis and simulations.
Contribution
It introduces a novel distributed goal assignment method specifically designed for leader-following formation control, enhancing performance over existing schemes.
Findings
Lyapunov stability analysis confirms improved control performance
Simulations with multiple quadrotors demonstrate effectiveness
The strategy effectively handles limited communication and partial leader information
Abstract
This paper investigates a distributed goal assignment problem in leader-following formation control of second-order multi-agent systems. It is assumed that each agent can communicate with nearby agents within the communication range and the leader information is only available to a subset of agents. Compared with existing formation control schemes addressing the goal assignment issue, the main contribution of this paper is to construct a novel distributed assignment strategy allotting appropriate goal positions of agents in the leader-following formation control framework. Based on the rigorous analysis using the Lyapunov stability theory, the enhancement of the control performance is proved via the proposed assignment strategy. To demonstrate the effectiveness of our theoretical results, two examples including multiple quadrotors are simulated.
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Nonlinear Dynamics and Pattern Formation
