On the Sensitivity of Solutions of Riccati Equationsto Small Parameter Perturbations and Optimality in Linear Stochastic ControlSystems

We study the sensitivity of solutions of Riccati equations to asymptotically small perturbations of their coefficients. An upper bound on the difference between the solutions of algebraic and differential Riccati equations is derived. The result is applied to study optimality in a stochastic linear-quadratic control problem over an infinite time horizon for an asymptotically autonomous system. We also study the performance of an invariant control strategy.

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Publication Details

Journal
Differential Equations
Published
2024-12-01
DOI
https://doi.org/10.1134/s1234567824602195
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

On the Sensitivity of Solutions of Riccati Equationsto Small Parameter Perturbations and Optimality in Linear Stochastic ControlSystems

Е. С. Паламарчук
Differential Equations
Distributed Control Multi-Agent Systems
article

On the Sensitivity of Solutions of Riccati Equationsto Small Parameter Perturbations and Optimality in Linear Stochastic ControlSystems

Е. С. Паламарчук
article en

Abstract

We study the sensitivity of solutions of Riccati equations to asymptotically small perturbations of their coefficients. An upper bound on the difference between the solutions of algebraic and differential Riccati equations is derived. The result is applied to study optimality in a stochastic linear-quadratic control problem over an infinite time horizon for an asymptotically autonomous system. We also study the performance of an invariant control strategy.

Differential EquationsVol. 60(12)
National Research University Higher School of Economics (RU), Central Economics and Mathematics Institute (RU)
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Openalex Percentile: Top 66%
Distributed Control Multi-Agent Systems
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