arXiv (All)
open access
Necessary and Sufficient Conditions for Adaptive Stabilizability of Continuous-Time Markov Jump Linear Stochastic Systems
The purpose of this paper is to provide a mathematically rigorous solution to a well-known problem in stochastic adaptive control, i.e., to find the weakest possible structural condition for global stabilizability of continuous-time Markov jump linear stochastic systems with known candidate modes bu
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
- A global stochastic maximum principle for delayed forward-backward stochastic control systems#1458240
- A Unified Theory of Solvability for Stochastic Linear-Quadratic Control Problems I: The Homogeneous Case#1403375
- Human-in-the-Loop Uncertainty Analysis in Self-Adaptive Robots Using LLMs#155388
- Realizations of Linear Systems with Prescribed Sparsity Patterns#1034718
- Stochastic Gradient Tracking over Time-Varying Networks: One-Step Lyapunov Analysis#620676
Record · ID 1457020
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