Learning Control for Air Conditioning Systems via Human Expressions

doi:10.1109/TIE.2020.3001849

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Learning Control for Air Conditioning Systems via Human Expressions
	Wei, Qinglai1,2,3 ; Li, Tao1,2,3 ; Liu, Derong 4
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN	0278-0046
	2021-08-01
卷号	68 期号:8 页码:7662-7671
通讯作者	Wei, Qinglai(qinglai.wei@ia.ac.cn)
摘要	In this article, a deep reinforcement learning method is developed to solve air conditioning control problems through human expressions. The main contribution of this article is to design a deep reinforcement learning method for air conditioning control problems with human expressions as the input for the first time. The method aims to eliminate human sleepiness and improve people's work efficiency as much as possible. First, the air conditioning system and deep reinforcement learning methods are introduced. Second, the image processing algorithm for human expressions is described. Third, the deep Q-network method is designed to obtain the optimal control policy for air conditioning systems. Finally, simulation results are given to illustrate the present method that can effectively eliminate sleepiness and improve the work environment of people.
关键词	Adaptive dynamic programming air conditioning control deep learning (DL) deep Q-network (DQN) human expressions optimal control reinforcement learning (RL) Q-learning
DOI	10.1109/TIE.2020.3001849
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61722312] ; National Natural Science Foundation of China[61533017] ; National Key Research and Development Program of China[2018YFB1702300]
项目资助者	National Natural Science Foundation of China ; National Key Research and Development Program of China
WOS研究方向	Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000647484000120
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	决策智能理论与方法
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/44655
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
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, Beijing 100049, Peoples R China 3.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 4.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wei, Qinglai,Li, Tao,Liu, Derong. Learning Control for Air Conditioning Systems via Human Expressions[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2021,68(8):7662-7671.
APA	Wei, Qinglai,Li, Tao,&Liu, Derong.(2021).Learning Control for Air Conditioning Systems via Human Expressions.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,68(8),7662-7671.
MLA	Wei, Qinglai,et al."Learning Control for Air Conditioning Systems via Human Expressions".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 68.8(2021):7662-7671.