{"title":"Maximum principle for partial information non-zero sum stochastic differential games with mixed delays","authors":"Pan Chen , Feng Zhang","doi":"10.1016/j.automatica.2025.112570","DOIUrl":null,"url":null,"abstract":"<div><div>This paper is concerned with one kind of partial information non-zero sum stochastic differential game with mixed delays. Both the state and control processes contain delays, where the former contains moving-average delay, discrete delay and noisy memory. We establish a necessary as well as two sufficient stochastic maximum principles for the game. As one of the main features of this research, a new kind of sufficient maximum principle is given, where the diffusion term can be controlled with non-convex control domains, and no second-order adjoint equation is needed. The theoretical results are applied to study two examples where the adjoint processes can be derived by two approaches and then the equilibrium points are obtained. This research generalizes those of stochastic optimal control problems.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112570"},"PeriodicalIF":5.9000,"publicationDate":"2025-09-01","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/S0005109825004650","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
This paper is concerned with one kind of partial information non-zero sum stochastic differential game with mixed delays. Both the state and control processes contain delays, where the former contains moving-average delay, discrete delay and noisy memory. We establish a necessary as well as two sufficient stochastic maximum principles for the game. As one of the main features of this research, a new kind of sufficient maximum principle is given, where the diffusion term can be controlled with non-convex control domains, and no second-order adjoint equation is needed. The theoretical results are applied to study two examples where the adjoint processes can be derived by two approaches and then the equilibrium points are obtained. This research generalizes those of stochastic optimal control problems.
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.