The Value and Optimal Strategies in a Positional Differential Game for a Neutral-Type System

On a finite time interval, a differential game for the minimax–maximin of a given cost functional is considered. In this game, the motion of a conflict-controlled dynamical system is described by functional differential equations of neutral type in Hale’s form. Under assumptions more general than those considered previously, a theorem on the existence of the value and saddle point of the game in classes of players’ closed-loop control strategies with memory of the motion history is proved. The proof involves the technique of the corresponding path-dependent Hamilton–Jacobi equations with coinvariant derivatives and the theory of minimax (generalized) solutions of such equations. In order to construct optimal strategies, which constitute a saddle point of the game, a recent result on the existence and uniqueness of a suitable minimax solution and a special Lyapunov–Krasovskii functional are used.

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Publication Details

Journal
Proceedings of the Steklov Institute of Mathematics
Published
2024-12-01
DOI
https://doi.org/10.1134/s0081543824070083
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
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article
Field-Weighted Citation Impact
0.54
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article

The Value and Optimal Strategies in a Positional Differential Game for a Neutral-Type System

Mikhail Igorevich Gomoyunov, N. Yu. Lukoyanov
1 citations
Proceedings of the Steklov Institute of Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
article

The Value and Optimal Strategies in a Positional Differential Game for a Neutral-Type System

Mikhail Igorevich Gomoyunov, N. Yu. Lukoyanov
article en
1 citations

Abstract

On a finite time interval, a differential game for the minimax–maximin of a given cost functional is considered. In this game, the motion of a conflict-controlled dynamical system is described by functional differential equations of neutral type in Hale’s form. Under assumptions more general than those considered previously, a theorem on the existence of the value and saddle point of the game in classes of players’ closed-loop control strategies with memory of the motion history is proved. The proof involves the technique of the corresponding path-dependent Hamilton–Jacobi equations with coinvariant derivatives and the theory of minimax (generalized) solutions of such equations. In order to construct optimal strategies, which constitute a saddle point of the game, a recent result on the existence and uniqueness of a suitable minimax solution and a special Lyapunov–Krasovskii functional are used.

Proceedings of the Steklov Institute of MathematicsVol. 327(S1)
N.N. Krasovskii Institute of Mathematics and Mechanics of the Ural Branch of the Russian Academy of Sciences (RU), Ural Branch of the Russian Academy of Sciences (RU), Udmurt State University (RU)
Climate action
Openalex Percentile: Top 25%
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
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