arXiv (All)
open access
Robust Adaptive Discrete-Time Control Barrier Certificate
This work develops a robust adaptive control strategy for discrete-time systems using Control Barrier Functions (CBFs) to ensure safety under parametric model uncertainty and disturbances. A key contribution of this work is establishing a barrier function certificate in discrete time for general onl
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
- Hybrid Control System based on Reinforcement Learning with Control Barrier Functions / Emiliano Azizaj ; Gutachter: Ivan Volosyak, Piotr Stawicki#1052429
- Implicit Control Law Embedded in Control System Solves Problem of Adaptive Function!?#22448
- Control of NTMs and integrated multi-actuator control on TCV#370983
- Uncertainty Estimators for Robust Backup Control Barrier Functions#792623
- Uncertainty Estimators for Robust Backup Control Barrier Functions#788623
Record · ID 986140
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