This paper introduces a novel networked Admissibility-Preserving Control (APC) architecture designed for safety-critical coordination among scalar agents. The system ensures that agents' outputs remain within a common moving safety corridor and their physical inputs adhere to asymmetric bounds. The proposed architecture utilizes an Admissibility-Preserving Input Realization (APIR) to manage physical inputs and a logarithmic barrier coordinate to define the safety corridor. The synthesis results in a cascade where realization errors drive consensus dynamics, guaranteeing a unique complete solution for compatible initial sets and maintaining uniform margins for the safety corridor and actuator intervals. AI
IMPACT This research advances control theory for multi-agent systems, potentially impacting future AI agent coordination and safety mechanisms.
RANK_REASON Academic paper detailing a new control architecture. [lever_c_demoted from research: ic=1 ai=0.7]
Read on arXiv cs.MA (Multiagent) →
- Admissibility-Preserving Control
- Admissibility-Preserving Input Realization
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