Parallel Control of Distributed Parameter Systems
Song, Yuhua1,2,3; He, Xiuyu1,2,3; Liu, Zhijie4; He, Wei1,2,3; Sun, Changyin5; Wang, Fei-Yue6
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
2018-12-01
Volume48Issue:12Pages:3291-3301
Corresponding AuthorHe, Wei(weihe@ieee.org)
AbstractIn this paper, we study the control problems of distributed parameter systems, and discuss the limitations of traditional control methods. In recent years, social factors have gradually become an essential parameter of system modeling. For complex distributed parameter systems, the accurate modeling becomes difficult. With the rapid development of the network and the technology of big data and cloud computing, based on the advanced control theory of large-scale computing, we introduce the idea of parallel control to the control of distributed parameter systems. Parallel control is a method to accomplish tasks through the interaction of virtual and actual. Its core is to model the complex distributed parameter system on artificial society or artificial system, then analyze and evaluate it by computational experiment, and finally control and manage the distributed parameter system by parallel execution. Data-driven control and computational control are used in this method, which is a control idea that adapts to the rapid development of society.
KeywordArtificial system data-driven distributed parameter system flexible structure parallel control
DOI10.1109/TCYB.2018.2849569
WOS KeywordADAPTIVE BOUNDARY CONTROL ; SLIDING MODE CONTROL ; NONLINEAR-SYSTEMS ; VIBRATION CONTROL ; FLEXIBLE MANIPULATOR ; UNMODELED DYNAMICS ; ROBOTIC SYSTEMS ; OUTPUT-FEEDBACK ; PDE BOUNDARY ; STABILIZATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61522302] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000] ; National Natural Science Foundation of China[U1713209] ; Fundamental Research Funds for the China Central Universities of USTB[FRFBD-17-002A] ; Beijing Municipal Science and Technology Commission[Z181100008918007] ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV)
Funding OrganizationNational Natural Science Foundation of China ; Fundamental Research Funds for the China Central Universities of USTB ; Beijing Municipal Science and Technology Commission ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV)
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000450613100003
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22618
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorHe, Wei
Affiliation1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
2.Univ Sci & Technol Beijing, Key Lab Knowledge Automat Ind Proc, Minist Educ, Beijing 100083, Peoples R China
3.Univ Sci & Technol Beijing, Inst Artificial Intelligence, Beijing 100083, Peoples R China
4.Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
5.Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
6.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Song, Yuhua,He, Xiuyu,Liu, Zhijie,et al. Parallel Control of Distributed Parameter Systems[J]. IEEE TRANSACTIONS ON CYBERNETICS,2018,48(12):3291-3301.
APA Song, Yuhua,He, Xiuyu,Liu, Zhijie,He, Wei,Sun, Changyin,&Wang, Fei-Yue.(2018).Parallel Control of Distributed Parameter Systems.IEEE TRANSACTIONS ON CYBERNETICS,48(12),3291-3301.
MLA Song, Yuhua,et al."Parallel Control of Distributed Parameter Systems".IEEE TRANSACTIONS ON CYBERNETICS 48.12(2018):3291-3301.
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