arXiv (All)
open access
Distributed Model Predictive Control with Connectivity-based Contracts
Teams of mobile robots rely on continuous communication with their neighbors for coordination, yet most distributed model predictive control (DMPC) schemes assume the communication network stays connected rather than actively enforcing it. Adding such a guarantee is hard since the usual mathematical
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 Model Predictive Control for Optimal Consensus of Constrained Heterogeneous Multi-agent Systems#784934
- Distributed Model Predictive Control for Optimal Consensus of Constrained Heterogeneous Multi-agent Systems#783344
- A Data-Driven Distributed Control Scheme: Learning Multi-Objective Agent-Based MPC for Path-Tracking#1000108
- Online Reinforcement Learning in the Met Office Unified Model through Distributed Model-Agent Coupling#632851
- Slot-MPC: Goal-Conditioned Model Predictive Control with Object-Centric Representations#187334
Record · ID 1014958
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