Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management
文献类型：期刊论文
| 作者 | Wei, Qinglai1,2,3 ; Liao, Zehua1,2; Shi, Guang4
|
| 刊名 | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
 |
| 出版日期 | 2021-10-01 |
| 卷号 | 17期号:10页码:6614-6623 |
| 关键词 | Optimal control Process control Smart homes Dynamic programming Numerical models Iterative methods Informatics Actor-critic learning adaptive critic designs adaptive dynamic programming (ADP) approximate dynamic programming energy management optimal control smart grid |
| ISSN号 | 1551-3203 |
| DOI | 10.1109/TII.2020.3042631 |
| 通讯作者 | Wei, Qinglai(qinglai.wei@ia.ac.cn) |
| 英文摘要 | This article is concerned with a new generalized actor-critic learning (GACL) optimal control method. It aims at the optimal energy control and management for smart home systems, which is expected to minimize the consumption cost for home users. In the present GACL optimal control method, it is the first time that three iteration processes, which are global iteration, local iteration, and interior iteration, respectively, are established to obtain the optimal energy control law. The main contribution of the developed method is to establish a common iteration structure for both value and policy iterations in adaptive dynamic programming based on a control law sequence in each iteration for periodic time-varying systems, instead of a single control law, and simultaneously accelerates the convergence rate. The monotonicity, convergence, and optimality of the iterative value function for the GACL optimal control method are proven. Finally, numerical results and comparisons are displayed to show the superiority of the developed method. |
| WOS关键词 | STORAGE SYSTEM ; OPTIMIZATION ; USER |
| 资助项目 | National Key Research and Development Program of China[2018YFB1702300] ; National Natural Science Foundation of China[61722312] ; National Natural Science Foundation of China[61533017] ; National Defense Basic Scientific Research Program[JCKY2019203C029] ; National Defense Basic Scientific Research Program[TII-20-2091] |
| WOS研究方向 | Automation & Control Systems ; Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000673414500006 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Defense Basic Scientific Research Program |
| 源URL | [http://ir.ia.ac.cn/handle/173211/45508]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 通讯作者 | Wei, Qinglai |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China 4.Coordinat Ctr China, Natl Comp Network Emergency Response Tech Team, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Qinglai,Liao, Zehua,Shi, Guang. Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2021,17(10):6614-6623. |
| APA | Wei, Qinglai,Liao, Zehua,&Shi, Guang.(2021).Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,17(10),6614-6623. |
| MLA | Wei, Qinglai,et al."Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 17.10(2021):6614-6623. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
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。