Knowledge Commons of Institute of Automation,CAS
Large-Scale Online Multitask Learning and Decision Making for Flexible Manufacturing | |
Wang, JunPing1; Sun, YunChuan2; Zhang, WenSheng1; Thomas, Ian3; Duan, ShiHui4; Shi, YouKang4; JUNPING WANG | |
发表期刊 | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS |
2016-12-01 | |
卷号 | 12期号:6页码:2139-2147 |
文章类型 | Article |
摘要 | Large-scale machine coordination is a primary approach for flexible manufacturing, enabling large-scale autonomous machines to dynamically coordinate their actions in pursuit of a custom task. One of the key challenges for such large-scale systems is finding high-dimensional coordination decision-making policies. Multitask policy gradient algorithms can be used in search of high-dimensional policies, particularly in collaborative decision support systems and distributed control systems. However, it is difficult for these algorithms to learn online high-dimensional coordination control policies (CCP) from large-scale custom manufacturing tasks. This paper proposes a large-scale online multitask learning and decision-making approach, which can consecutively learn high-dimensional CCP in order to quickly coordinate machine actions online for large-scale custom manufacturing task. A large-scale online multitask leaning algorithm is developed, which is able to learn large-scale high-dimensional CCP in a flexible manufacturing scenario. An online stochastic planning algorithm is proposed, which online optimizes the Markov network structure in order to avoid expensive global search for the optimal policy. Experiments have been undertaken using a professional flexible manufacturing testbed deployedwithin a smart factory ofWeichai Power in China. Results show the proposed approach to be more efficient when compared with previous works. |
关键词 | Decision Making Flexible Manufacturing Industry 4.0 Online Multitask Coordination Learning |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TII.2016.2549919 |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | Natural Science Foundation of China(61472423 ; 61371185 ; 61432008) |
WOS研究方向 | Automation & Control Systems ; Computer Science ; Engineering |
WOS类目 | Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial |
WOS记录号 | WOS:000391299700016 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/12188 |
专题 | 多模态人工智能系统全国重点实验室_人工智能与机器学习(杨雪冰)-技术团队 |
通讯作者 | JUNPING WANG |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Lab Precis Sensing & Control Ctr, Beijing 100864, Peoples R China 2.Beijing Normal Univ, Sch Business, Beijing 100875, Peoples R China 3.Fujitsu, F-75011 Paris, France 4.Minist Ind & Informat Technol MIIT Peoples Republ, China Acad Telecommun Res, Commun Stand Res Inst, Beijing 100191, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wang, JunPing,Sun, YunChuan,Zhang, WenSheng,et al. Large-Scale Online Multitask Learning and Decision Making for Flexible Manufacturing[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2016,12(6):2139-2147. |
APA | Wang, JunPing.,Sun, YunChuan.,Zhang, WenSheng.,Thomas, Ian.,Duan, ShiHui.,...&JUNPING WANG.(2016).Large-Scale Online Multitask Learning and Decision Making for Flexible Manufacturing.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,12(6),2139-2147. |
MLA | Wang, JunPing,et al."Large-Scale Online Multitask Learning and Decision Making for Flexible Manufacturing".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 12.6(2016):2139-2147. |
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