Towards Computing Suboptimal Controls in a Zero-Sum Linear-Quadratic Differential Game: Artificial Parameter Approach

We consider a zero-sum finite horizon linear-quadratic differential game. Suboptimal state-feedback controls of the players in this game are derived. This derivation is based on the approximate solution (with a novel error’s estimate) of the corresponding Riccati matrix differential equation by the method of artificial parameter. The theoretical results are illustrated by the approximate solution of the problem of pursuit-evasion engagement between two flying vehicles.

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Publication Details

Journal
EPiC series in computing
Published
2024-12-11
DOI
https://doi.org/10.29007/tzmt
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards Computing Suboptimal Controls in a Zero-Sum Linear-Quadratic Differential Game: Artificial Parameter Approach

Vladimir Turetsky, Valery Glizer
EPiC series in computing
Guidance and Control Systems
article

Towards Computing Suboptimal Controls in a Zero-Sum Linear-Quadratic Differential Game: Artificial Parameter Approach

Vladimir Turetsky, Valery Glizer
article en

Abstract

We consider a zero-sum finite horizon linear-quadratic differential game. Suboptimal state-feedback controls of the players in this game are derived. This derivation is based on the approximate solution (with a novel error’s estimate) of the corresponding Riccati matrix differential equation by the method of artificial parameter. The theoretical results are illustrated by the approximate solution of the problem of pursuit-evasion engagement between two flying vehicles.

EPiC series in computingVol. 104
Openalex Percentile: Top 64%
Guidance and Control Systems
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Towards Computing Suboptimal Controls in a Zero-Sum Linear-Quadratic Differential Game: Artificial Parameter Approach — Vladimir Turetsky, Valery Glizer · EPiC series in computing (2024) | TGRS Research Map | TGRS