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Data-driven control of a class of discrete-time linear complex dynamical networks

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成果类型:
会议论文
作者:
Wang, Wei;Feng, Changyang*;Quan, Wei
通讯作者:
Feng, Changyang
作者机构:
[Wang, Wei] WISDRI Engn & Res Inc Ltd, Res & Dev Inst, Wuhan, Peoples R China.
[Feng, Changyang] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
[Quan, Wei] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
通讯机构:
[Feng, Changyang] C
Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
语种:
英文
关键词:
Data-driven control;complex dynamical networks;reinforcement learning;model-free
期刊:
2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
ISSN:
2639-1589
年:
2019
页码:
6243-6245
会议名称:
IEEE International Conference on Big Data (Big Data)
会议论文集名称:
IEEE International Conference on Big Data
会议时间:
DEC 09-12, 2019
会议地点:
Los Angeles, CA
会议主办单位:
[Wang, Wei] WISDRI Engn & Res Inc Ltd, Res & Dev Inst, Wuhan, Peoples R China.^[Feng, Changyang] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.^[Quan, Wei] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
会议赞助商:
IEEE Comp Soc, IEEE, Baidu, Very, Ankura
主编:
Baru, C Huan, J Khan, L Hu, XH Ak, R Tian, Y Barga, R Zaniolo, C Lee, K Ye, YF
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-7281-0858-2
机构署名:
本校为通讯机构
院系归属:
信息管理学院
摘要:
The study presented in this poster deals with the model-free optimal synchronization control of the complex dynamical networks (CDNs) with unknown non-identical dynamics. The traditional synchronization control methods of the CDNs require the complete knowledge of system dynamics. However, there usually exists substantive data which contains the information of system state variables. In addition, we are surrounded by big data with the advent of rapid and low-cost data acquisition techniques. We can employ the data-driven method to acquire the control law. Thus, in this study, we propose a data...

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