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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
AbstractLarge-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.
KeywordDecision Making Flexible Manufacturing Industry 4.0 Online Multitask Coordination Learning
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Funding OrganizationNatural Science Foundation of China(61472423 ; 61371185 ; 61432008)
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS IDWOS:000391299700016
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Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorJUNPING WANG
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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