Distributed Control of Multiagent Systems under Unknown Persistent Disturbances
Tansel Yucelen, Magnus Egerstedt

TL;DR
This paper introduces a new control method for multiagent systems that ensures consensus and formation objectives are achieved despite unknown persistent disturbances, by integrating an integral action based on local error projections.
Contribution
A novel controller design combining existing algorithms with an integral action based on local error projections to handle unknown persistent disturbances in multiagent systems.
Findings
Achieves consensus and formation under disturbances
Proven stability of the proposed control architecture
Validated with illustrative examples
Abstract
This paper focuses on the consensus and formation problems of multiagent systems under unknown persistent disturbances. Specifically, we propose a novel method that combines an existing consensus (or formation) algorithm with a new controller. The new controller has an integral action that produces a control input based on an error signal locally projected onto the column space of the graph Laplacian. This action allows agents to achieve a consensus or a predetermined formation objective under constant or time-varying disturbances. This study has analyzed the stability properties of this architecture and provides several illustrative examples to demonstrate the proposed approach.
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Mathematical and Theoretical Epidemiology and Ecology Models
