arXiv (All)
open access
Static Output Feedback Control for Multi-Agent Systems Using Nash Equilibrium
This work proposes a semidefinite programming (SDP) model that synthesizes static output control feedback for networked linear time-invariant multi-agent systems (MAS). We theoretically prove that the output feedback control of MAS can be constructed using the Nash equilibrium previously derived for
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
- Distributed primal-dual algorithm for constrained multi-agent reinforcement learning under coupled policies#793514
- Distributed primal-dual algorithm for constrained multi-agent reinforcement learning under coupled policies#789510
- Mixed-integer flow formulations for motion planning and decision-making of networked multi-agent systems#1050648
- Passively Safe and Robust Multi-Agent Optimal Control with Application to Distributed Space Systems#1209230
- Distributed scalable coupled policy algorithm for networked multi-agent reinforcement learning#1355952
Record · ID 1186903
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