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联邦控制: 面向信息安全和权益保护的分布式控制方法

朱静 王飞跃 王戈 田永林 袁勇 王晓 齐红威 贾晓丰

朱静,  王飞跃,  王戈,  田永林,  袁勇,  王晓,  齐红威,  贾晓丰.  联邦控制: 面向信息安全和权益保护的分布式控制方法.  自动化学报,  2021,  47(8): 1912−1920 doi: 10.16383/j.aas.c210182
引用本文: 朱静,  王飞跃,  王戈,  田永林,  袁勇,  王晓,  齐红威,  贾晓丰.  联邦控制: 面向信息安全和权益保护的分布式控制方法.  自动化学报,  2021,  47(8): 1912−1920 doi: 10.16383/j.aas.c210182
Zhu Jing,  Wang Fei-Yue,  Wang Ge,  Tian Yong-Lin,  Yuan Yong,  Wang Xiao,  Qi Hong-Wei,  Jia Xiao-Feng.  Federated control: A distributed control approach towards information security and rights protection.  Acta Automatica Sinica,  2021,  47(8): 1912−1920 doi: 10.16383/j.aas.c210182
Citation: Zhu Jing,  Wang Fei-Yue,  Wang Ge,  Tian Yong-Lin,  Yuan Yong,  Wang Xiao,  Qi Hong-Wei,  Jia Xiao-Feng.  Federated control: A distributed control approach towards information security and rights protection.  Acta Automatica Sinica,  2021,  47(8): 1912−1920 doi: 10.16383/j.aas.c210182

联邦控制: 面向信息安全和权益保护的分布式控制方法

doi: 10.16383/j.aas.c210182
基金项目: 中国澳门特别行政区科学技术发展基金(0050/2020/A1)资助
详细信息
    作者简介:

    朱静:南京航空航天大学自动化学院讲师. 2015年获得中国香港城市大学电子工程专业博士学位. 主要研究方向为控制理论与应用. E-mail: drzhujing@nuaa.edu.cn

    王飞跃:中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任, 中国科学院大学中国经济与社会安全研究中心主任, 青岛智能产业技术研究院院长. 主要研究方向为平行系统的方法与应用, 社会计算, 平行智能以及知识自动化. 本文通信作者. E-mail: feiyue.wang@ia.ac.cn

    王戈:中国澳门科技大学系统工程研究所博士研究生. 主要研究方向为联邦治理、DAO、平行智能系统

    田永林:中国科学技术大学与中国科学院自动化研究所联合培养博士研究生. 主要研究方向为计算机视觉, 智能交通. E-mail: tyldyx@mail.ustc.edu.cn

    袁勇:中国人民大学数学学院教授, 中国自动化学会区块链专委会主任. 2008年获得山东科技大学计算机软件与理论专业博士学位. 主要研究方向为区块链与计算经济学. E-mail: yong.yuan@ruc.edu.cn

    王晓:中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员. 2016 年获得中国科学院大学社会计算博士学位. 主要研究方向为社会交通, 社会计算, 动态网群组织, 人工智能和社交网络分析. E-mail: x.wang@ia.ac.cn

    齐红威:数据堂(北京)科技股份有限公司董事长, 高级工程师. 2004年获得中国科学院自动化研究所博士学位. 主要研究方向为人工智能数据采集, 处理, 以及联邦数据. E-mail: Henry@datatang.com

    贾晓丰:北京市大数据中心数据管理部负责人, 高级工程师. 2015年获得中国科学院大学博士学位. 主要研究方向为大数据, 区块链, 隐私计算等领域的研究和工程实践. E-mail: jiaxf@jxj.beijing.gov.cn

Federated Control: A Distributed Control Approach Towards Information Security and Rights Protection

Funds: Supported by The Science and Technology Development Fund, Macau SAR, China (0050/2020/A1)
More Information
    Author Bio:

    ZHU Jing Lecturer at the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics. She received her Ph. D. degree in electrical engineering from City University of Hong Kong. China in 2015. Her research interest covers control theories and applications

    WANG Fei-Yue State specially appointed expert and director of the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. Director of China Economic and Social Security Research Center in University of Chinese Academy of Sciences. President of Qingdao Academy of Intelligent Industries. His research interest covers methods and applications for parallel systems, social computing, parallel intelligence, and knowledge automation. Corresponding author of this paper

    WANG Ge Ph. D. candidate at the Institute of Systems Engineering, Macau University of Science and Technology, China. His research interest covers federated governance, smart contracts, DAO, parallel intelligence

    TIAN Yong-Lin Ph. D. candidate in the Department of Automation, University of Science and Technology of China and the Institute of Automation, Chinese Academy of Sciences. His research interest covers computer vision and intelligent transportation system

    YUAN Yong Professor at the School of Mathematics, Renmin University of China. He is also the director of Technical Committee on Blockchain, Chinese Association of Automation. He received his Ph. D. degree in computer software and theory from Shandong University of Science and Technology in 2008. His research interest covers blockchain and computational economics

    WANG Xiao Associate professor at the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. She received her Ph. D. degree in social computing from the University of Chinese Academy of Sciences in 2016. Her research interest covers social computing, cybermovement organizations, artificial intelligence and social network analysis

    QI Hong-Wei Chairman at Datatang (Beijing) Technology Co., Ltd., senior engineer. He received his Ph. D. degree from Institute of Automation, Chinese Academy of Sciences in 2004. His research interst covers artificial intelligence data acquisition, processing, federal data

    JIA Xiao-Feng Director at the Data Management Department, Beijing Big Data Centre, senior engineer. He received his Ph. D. degree from University of Chinese Academy of Sciences in 2015. His research interest covers the research and practice of big data, block chain, and privacy computing

  • 摘要:

    本文提出一种基于联邦智能的分布式控制方法—联邦控制. 作为联邦生态的核心环节, 联邦控制从联邦智能的需求响应出发, 以联邦数据的信息安全和权益保护为目标, 以区块链、平行系统为技术支撑, 为大型复杂系统提供高效、安全、可靠的控制与管理.

  • 图  1  联邦控制搜索结果(2021-02-28)

    Fig.  1  Search results on federated control (2021-02-28)

    图  2  平行系统理论框图

    Fig.  2  Framework of the parallel system theory

    图  3  联邦控制的层级架构

    Fig.  3  Hierarchical framework of federated control

    图  4  联邦控制基本流程

    Fig.  4  Flow chart of federated control

    图  5  联邦控制的研究框架

    Fig.  5  Research framework of federated control

    图  6  基于区块链的联邦链式网络

    Fig.  6  Blockchain based federated-chain network

    图  7  车联网联邦控制框架

    Fig.  7  Framework of federated control in internet of vehicles

    图  8  旅游市场联邦控制模型

    Fig.  8  Federated control model of tourist marketing systems

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  • 收稿日期:  2021-03-08
  • 网络出版日期:  2021-06-15
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