Derives necessary and sufficient feasibility conditions for target density in leader-follower systems with follower interactions, plus a locally stabilizing feedback law with explicit basin of attraction.
Swarm robotics: Past, present, and future [point of view],
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A distributed bilevel algorithm optimizes emergent macroscopic behavior in multi-agent systems by combining local exponential-family state estimation with hypergradient microscopic updates and proves convergence via timescale separation.
citing papers explorer
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Leader-Follower Density Control of Multi-Agent Systems with Interacting Followers: Feasibility and Convergence Analysis
Derives necessary and sufficient feasibility conditions for target density in leader-follower systems with follower interactions, plus a locally stabilizing feedback law with explicit basin of attraction.
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A Distributed Bilevel Framework for the Macroscopic Optimization of Multi-Agent Systems
A distributed bilevel algorithm optimizes emergent macroscopic behavior in multi-agent systems by combining local exponential-family state estimation with hypergradient microscopic updates and proves convergence via timescale separation.