Approximate Solution Methods for the Average Reward Criterion in Optimal Tracking Control of Linear Systems

Fuente: arXiv
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Autor principal: Nguyen, Duc Cuong
Formato: Preprint
Publicado: 2025
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author Nguyen, Duc Cuong
author_facet Nguyen, Duc Cuong
contents This paper studies optimal control under the average-reward/cost criterion for deterministic linear systems. We derive the value function and optimal policy, and propose an approximate solution using Model Predictive Control to enable practical implementation.
format Preprint
id arxiv_https___arxiv_org_abs_2507_01556
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Approximate Solution Methods for the Average Reward Criterion in Optimal Tracking Control of Linear Systems
Nguyen, Duc Cuong
Optimization and Control
Systems and Control
This paper studies optimal control under the average-reward/cost criterion for deterministic linear systems. We derive the value function and optimal policy, and propose an approximate solution using Model Predictive Control to enable practical implementation.
title Approximate Solution Methods for the Average Reward Criterion in Optimal Tracking Control of Linear Systems
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2507.01556