{"title":"On the properties of monotone functionals for generalizing Bellman Principle","authors":"Auguste Caen , Jean-Denis Mathias","doi":"10.1016/j.automatica.2025.112418","DOIUrl":null,"url":null,"abstract":"<div><div>Dynamic programming is classically used for solving optimal control problems. This approach is based on equating the value function of the problem under study as well as the Bellman Principle. However, despite a sharing common framework, each optimal control problem is addressed independently, depending on the characteristics of the cost function. The objective of this article is to establish a unified approach within the context of deterministic, autonomous dynamics with an infinite horizon. The ultimate purpose is to determine conditions from which an optimal control problem admits a <em>Bellman principle</em>. To achieve this, we introduce a typology composed of three so-called <em>monotone</em> functionals, which encompass typical cost functions met in the literature. Any functional that complies with the properties of one of this class can be used for tackling optimal control problems through Bellman principle. Then, we show that classical functionals used in the literature can be classified in one these classes. Finally, we show how to build a functional according to this typology through a simple problem of optimization.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"179 ","pages":"Article 112418"},"PeriodicalIF":4.8000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109825003127","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Dynamic programming is classically used for solving optimal control problems. This approach is based on equating the value function of the problem under study as well as the Bellman Principle. However, despite a sharing common framework, each optimal control problem is addressed independently, depending on the characteristics of the cost function. The objective of this article is to establish a unified approach within the context of deterministic, autonomous dynamics with an infinite horizon. The ultimate purpose is to determine conditions from which an optimal control problem admits a Bellman principle. To achieve this, we introduce a typology composed of three so-called monotone functionals, which encompass typical cost functions met in the literature. Any functional that complies with the properties of one of this class can be used for tackling optimal control problems through Bellman principle. Then, we show that classical functionals used in the literature can be classified in one these classes. Finally, we show how to build a functional according to this typology through a simple problem of optimization.
期刊介绍:
Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.
After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience.
Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.