Stability of leaderless multi-agent systems. Extension of a result by Moreau
David Angeli, Pierre-Alexandre Bliman

TL;DR
This paper extends a known result on multi-agent systems by including communication delays and relaxing convexity assumptions, showing conditions for global convergence to equilibrium.
Contribution
It generalizes Moreau's stability result to account for bounded delays and non-convex state transition regions in leaderless multi-agent systems.
Findings
Connectedness of interaction graphs ensures convergence.
Bounded communication delays do not prevent stability under certain conditions.
Relaxed convexity assumptions still guarantee global equilibrium.
Abstract
The paper presents a result which relates connectedness of the interaction graphs in a multi-agent systems with the capability for global convergence to a common equilibrium of the system. In particular we extend a previously known result by Moreau by including the possibility of arbitrary bounded time-delays in the communication channels and relaxing the convexity of the allowed regions for the state transition map of each agent.
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Mathematical and Theoretical Epidemiology and Ecology Models
