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Handling Infeasibility in Dense Multi-Agent Systems

In multi-agent control systems, strict constraint enforcement can lead to infeasibility, oscillatory behavior, and stagnation in dense interaction settings. Current methods struggle to balance constraint satisfaction with system performance. This bottleneck affects various applications, including robotics and autonomous systems.

Mathematics & logic, Mathematics, Optimization