arXiv (All)
open access
High-Probability Sampled-Data Stabilization of General Nonlinear Stochastic Systems
In this paper, we study sampled-data stabilization of general nonlinear stochastic systems under a local exponential-type Lyapunov condition for the continuous-time closed-loop system. The coefficients are assumed only locally Lipschitz, with neither linear-growth nor Khasminskii-type conditions. Tw
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
- Backward SDE characterization of the finite horizon Principal-Agent problem#1155296
- Linear convergence rate analysis of Proximal-Tracking for nonsmooth distributed optimization#1063611
- Projection-Free Algorithms for Nonsmooth Stochastic Convex-Concave Saddle-Point Problems#1129869
- On Convergence Properties of Incremental Global Asymptotic Stability#378067
- A dynamic point of view on universality for random matrices over finite local rings#998469
Record · ID 1063556
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