ShanghaiTech University Knowledge Management System
Parallel Explicit MPC for Hardware with Limited Memory | |
2017 | |
会议录名称 | IFAC PAPERSONLINE |
卷号 | 50 |
期号 | 1 |
页码 | 3301-3306 |
发表状态 | 已发表 |
DOI | 10.1016/j.ifacol.2017.08.506 |
摘要 | This paper proposes a real-time model predictive control (MPC) algorithm for problems with convex quadratic objectives, linear dynamic systems, as well as polytopic state and control constraints. The method features, on the one hand, explicit model predictive control algorithms and parametric optimization, but, on the other hand, also uses ideas from iterative distributed optimization. This leads to an explicit real-time algorithm with constant and verifiable run-time bounds that scale linearly with the prediction horizon length of the MPC problem. Moreover, unlike standard explicit MPC algorithms, the memory requirements of the proposed algorithm do not dependent on the prediction horizon length. The practical advantages of the method are illustrated with a numerical example. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. |
关键词 | Explicit MPC Parametric Optimization Distributed Optimization |
出版地 | PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS |
收录类别 | CPCI ; EI |
语种 | 英语 |
资助项目 | [APVV SK-CN-2015-0016] |
WOS记录号 | WOS:000423964800049 |
出版者 | ELSEVIER SCIENCE BV |
WOS关键词 | OPTIMIZATION ; SYSTEMS |
原始文献类型 | Proceedings Paper |
引用统计 | 正在获取...
|
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/20186 |
专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_Boris Houska组 信息科学与技术学院_博士生 |
通讯作者 | Oravec, Juraj |
作者单位 | 1.Slovak Univ Technol Bratislava, Fac Chem & Food Technol, Bratislava, Slovakia 2.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Oravec, Juraj,Jiang, Yuning,Houska, Boris,et al. Parallel Explicit MPC for Hardware with Limited Memory[C]. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS:ELSEVIER SCIENCE BV,2017:3301-3306. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 |
修改评论
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。