{"title":"Infinite-horizon optimal control of nonlinear discrete-time systems: HJB pde, Hamiltonian dynamics and invariant manifolds","authors":"Mario Sassano","doi":"10.1016/j.automatica.2025.112441","DOIUrl":null,"url":null,"abstract":"<div><div>Nonlinear discrete-time optimal control problems are studied over an infinite horizon with the aim of establishing a connection between the solution of the Bellman equation and the trajectories of the Hamiltonian difference dynamics associated with the problem. First, a discrete-time counterpart of the Hamilton–Jacobi–Bellman partial differential equation is introduced and discussed. The latter is then further instrumental for showing that a certain manifold, involving the costate variable and the gradient of the value function, is invariant for the Hamiltonian dynamics, hence recovering a well-known property of continuous-time optimal control problems. This feature is then leveraged to envision an episodic learning strategy based on the notion of invariant manifold.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"179 ","pages":"Article 112441"},"PeriodicalIF":5.9000,"publicationDate":"2025-06-13","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/S0005109825003358","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
Nonlinear discrete-time optimal control problems are studied over an infinite horizon with the aim of establishing a connection between the solution of the Bellman equation and the trajectories of the Hamiltonian difference dynamics associated with the problem. First, a discrete-time counterpart of the Hamilton–Jacobi–Bellman partial differential equation is introduced and discussed. The latter is then further instrumental for showing that a certain manifold, involving the costate variable and the gradient of the value function, is invariant for the Hamiltonian dynamics, hence recovering a well-known property of continuous-time optimal control problems. This feature is then leveraged to envision an episodic learning strategy based on the notion of invariant manifold.
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.
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