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Parallel Control of Distributed Parameter Systems

文献类型：期刊论文

作者Song, Yuhua1,2,3; He, Xiuyu1,2,3; Liu, Zhijie4; He, Wei1,2,3; Sun, Changyin5; Wang, Fei-Yue6
刊名IEEE TRANSACTIONS ON CYBERNETICS
出版日期2018-12-01
卷号48期号:12页码:3291-3301
关键词Artificial system data-driven distributed parameter system flexible structure parallel control
ISSN号2168-2267
DOI10.1109/TCYB.2018.2849569
通讯作者He, Wei(weihe@ieee.org)
英文摘要In 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.
WOS关键词ADAPTIVE BOUNDARY CONTROL ; SLIDING MODE CONTROL ; NONLINEAR-SYSTEMS ; VIBRATION CONTROL ; FLEXIBLE MANIPULATOR ; UNMODELED DYNAMICS ; ROBOTIC SYSTEMS ; OUTPUT-FEEDBACK ; PDE BOUNDARY ; STABILIZATION
资助项目National 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)
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000450613100003
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National 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)
源URL[http://ir.ia.ac.cn/handle/173211/22617]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者He, Wei
作者单位1.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
推荐引用方式
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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来源：自动化研究所

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