Reachability and Controllability Analysis of the State Covariance for Linear Stochastic Systems
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Abstract (arXiv)
This paper studies the set of terminal state covariances that are reachable over a finite time horizon from a given initial state covariance for a linear stochastic system with additive noise. For discrete-time systems, a complete characterization of the set of reachable state covariances is given. For continuous-time systems, we present an upper bound on the set of reachable state covariances. Moreover, for both linear discrete-time and continuous-time systems, necessary and sufficient conditions are provided for the controllability of the state covariance over a finite horizon.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Jun 2024.
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Citing papers per year: 2024: 1; 2025: 0; 2026: 2.
3 papers.
- 2024Go With the Flow: Fast Diffusion for Gaussian Mixture Modelscited by 5
- 2026Globally Solving Unbalanced Optimal Transport and Density Control for Gaussian Distributionscited by 1
- 2026Mutual Information Optimal Density Control of Linear Systems and Generalized Schr"odinger Bridges with Reference Refinementcited by 0
- 2026Mutual Information Optimal Density Control of Linear Systems and Generalized Schr"odinger Bridges with Reference Refinement10 May 2026
- 2026Globally Solving Unbalanced Optimal Transport and Density Control for Gaussian Distributions5 May 2026
- 2024Go With the Flow: Fast Diffusion for Gaussian Mixture Models12 Dec 2024