arXiv (All)
open access
Data-driven control of linear systems using quantized data
This paper studies data-driven stabilization of unknown discrete-time linear systems using only quantized state measurements that take values in finite sets. The proposed approach consists of two stages. In the controller design stage, we collect quantized data while maintaining a prescribed quantiz
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
- Input-to-state stabilization of linear systems under data-rate constraints#1186429
- PID Design for Exponential Stabilization of LPV Delayed Discrete-Time Systems#1120426
- Fixed-time stabilization of systems with nilpotent matrices in the presence of large unknown delays#652409
- Fixed-time stabilization of systems with nilpotent matrices in the presence of large unknown delays#650956
- Linear combination of Schrödingerization for quantum linear systems with optimal matrix-query complexity#1014264
Record · ID 1201737
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