{"title":"线性二次优化控制问题的高效计算原始求解器","authors":"Yannick J.J. Heuts, M.C.F. (Tijs) Donkers","doi":"10.1016/j.automatica.2025.112341","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a fast projected primal–dual method for solving linear-quadratic optimal control problems. The computational efficiency comes from a heavy-ball acceleration and specific (sparse) choices of preconditioning matrices. To analyse convergence, we first assume that the weighing matrices in the linear quadratic optimal control problems are diagonal, allowing us to propose the preconditioning matrices and study the convergence of the resulting algorithm by writing it a Lur’e-type dynamic system. We then employ this preconditioned algorithm for the case that weighting matrices are nondiagonal by applying the preconditioned algorithm repeatedly in a sequential-quadratic programming fashion. Furthermore, it is shown that infeasibility of the optimal control problem can be detected using the Theorem of the Alternatives and the iterates produced by the algorithm. The resulting algorithm is simple, while also achieving competitive computational times.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"177 ","pages":"Article 112341"},"PeriodicalIF":4.8000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A computationally efficient primal–dual solver for linear-quadratic optimal control problems\",\"authors\":\"Yannick J.J. Heuts, M.C.F. (Tijs) Donkers\",\"doi\":\"10.1016/j.automatica.2025.112341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper presents a fast projected primal–dual method for solving linear-quadratic optimal control problems. The computational efficiency comes from a heavy-ball acceleration and specific (sparse) choices of preconditioning matrices. To analyse convergence, we first assume that the weighing matrices in the linear quadratic optimal control problems are diagonal, allowing us to propose the preconditioning matrices and study the convergence of the resulting algorithm by writing it a Lur’e-type dynamic system. We then employ this preconditioned algorithm for the case that weighting matrices are nondiagonal by applying the preconditioned algorithm repeatedly in a sequential-quadratic programming fashion. Furthermore, it is shown that infeasibility of the optimal control problem can be detected using the Theorem of the Alternatives and the iterates produced by the algorithm. The resulting algorithm is simple, while also achieving competitive computational times.</div></div>\",\"PeriodicalId\":55413,\"journal\":{\"name\":\"Automatica\",\"volume\":\"177 \",\"pages\":\"Article 112341\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-04-23\",\"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/S0005109825002341\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109825002341","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}
A computationally efficient primal–dual solver for linear-quadratic optimal control problems
This paper presents a fast projected primal–dual method for solving linear-quadratic optimal control problems. The computational efficiency comes from a heavy-ball acceleration and specific (sparse) choices of preconditioning matrices. To analyse convergence, we first assume that the weighing matrices in the linear quadratic optimal control problems are diagonal, allowing us to propose the preconditioning matrices and study the convergence of the resulting algorithm by writing it a Lur’e-type dynamic system. We then employ this preconditioned algorithm for the case that weighting matrices are nondiagonal by applying the preconditioned algorithm repeatedly in a sequential-quadratic programming fashion. Furthermore, it is shown that infeasibility of the optimal control problem can be detected using the Theorem of the Alternatives and the iterates produced by the algorithm. The resulting algorithm is simple, while also achieving competitive computational times.
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.