arXiv (All)
open access
Critical Growth for Stochastic Adaptive Stabilization with an Unknown Input Gain
This paper studies adaptive stabilization of a class of scalar discrete-time nonlinear systems with unknown drift coefficients and an unknown nonzero input gain. Under iid Gaussian noise, we establish a necessary and sufficient polynomial criterion for global stabilizability, characterizing the admi
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
- Adaptive Observer of Nonlinear One-Sided Lipschitz Systems Using Estimated State Regressors With Finite Excitation#819014
- Adaptive Observer of Nonlinear One-Sided Lipschitz Systems Using Estimated State Regressors With Finite Excitation#809022
- Finite-time stabilization of affine nonlinear systems#304763
- Adaptive Koopman Embedding for Robust Control of Complex Nonlinear Dynamical Systems#1000455
- Adaptive Control with Sparse Identification of Nonlinear Dynamics#1062648
Record · ID 1401919
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