Two-Player Zero-Sum Hybrid Games

Fuente: arXiv
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Auteurs principaux: Leudo, Santiago J., Sanfelice, Ricardo G.
Format: Preprint
Publié: 2024
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author Leudo, Santiago J.
Sanfelice, Ricardo G.
author_facet Leudo, Santiago J.
Sanfelice, Ricardo G.
contents In this paper, we formulate a two-player zero-sum game under dynamic constraints defined by hybrid dynamical equations. The game consists of a min-max problem involving a cost functional that depends on the actions and resulting solutions to the hybrid system, defined as functions of hybrid time and, hence, can flow or jump. A terminal set conveniently defined allows to recast both finite and infinite horizon problems. We present sufficient conditions given in terms of Hamilton-Jacobi-Bellman-Isaacs-like equations to guarantee to attain a solution to the game. It is shown that when the players select the optimal strategy, the value function can be evaluated without computing solutions to the hybrid system. Under additional conditions, we show that the optimal state-feedback laws render a set of interest asymptotically stable for the resulting hybrid closed-loop system. Applications of these games, presented here as robust control problems, include disturbance rejection and security problems.
format Preprint
id arxiv_https___arxiv_org_abs_2407_10107
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Two-Player Zero-Sum Hybrid Games
Leudo, Santiago J.
Sanfelice, Ricardo G.
Optimization and Control
Systems and Control
In this paper, we formulate a two-player zero-sum game under dynamic constraints defined by hybrid dynamical equations. The game consists of a min-max problem involving a cost functional that depends on the actions and resulting solutions to the hybrid system, defined as functions of hybrid time and, hence, can flow or jump. A terminal set conveniently defined allows to recast both finite and infinite horizon problems. We present sufficient conditions given in terms of Hamilton-Jacobi-Bellman-Isaacs-like equations to guarantee to attain a solution to the game. It is shown that when the players select the optimal strategy, the value function can be evaluated without computing solutions to the hybrid system. Under additional conditions, we show that the optimal state-feedback laws render a set of interest asymptotically stable for the resulting hybrid closed-loop system. Applications of these games, presented here as robust control problems, include disturbance rejection and security problems.
title Two-Player Zero-Sum Hybrid Games
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2407.10107