Semantic Scholar
metadata only
Passively Safe and Robust Multi-Agent Optimal Control with Application to Distributed Space Systems
This paper presents a novel methodology to enforce motion safety guarantees even in the event of a sudden loss of control capabilities by any agent within a multi-agent system. This passive safety methodology permits the replacement of point-evaluated constraints on the trajectory following a contin
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Robust multi-scale leader-follower control of large multi-agent systems#1035429
- FAITH: Feasibility-Aware Safety-Filtered RL for High-Dimensional Systems#1249856
- FAITH: Feasibility-Aware Safety-Filtered RL for High-Dimensional Systems#1242731
- Safe Leader-Follower Density Control via Higher-Order Mean-Field Control Barrier Functions#1200384
- Graph-Based Safe Reinforcement Learning for Multi-Agent Systems with Time-Varying Topology#986434
Record · ID 1209230
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive