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工业过程系统的预测控制
  • ISSN号：1671-7848
  • 期刊名称：《控制工程》
  • 时间：0
  • 分类：TP273[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构：[1]上海交通大学自动化系
  • 相关基金：国家自然科学基金资助项目(60825302,60474015)
作者： 李少远[1]
关键词： 工业过程系统, 系统建模, 预测控制, 数据驱动, 网络化控制系统, industrial process, system modeling, predictive control, data-driven approach, networked control systems
中文摘要：

预测控制方法自1970's提出后在学术界和工业应用领域都取得了很大的进展,尤其在工业过程控制方面成为一种重要的先进控制方法。根据工业过程控制的特点和进一步的需求,对近年来在工业过程控制领域预测控制方法取得的新进展进行综述,包括过程控制系统模型辩识,数据驱动的预测控制和在网络信息模式下的预测控制等。并对预测控制进一步的发展需求进行分析,介绍了欧盟正在进行的第七框架对于大系统分布式预测控制的研究内容。

英文摘要：

Model-based predictive control has made a significant impact on academic control area and industrial application since it was proposed in 1970 s.Especially in industrial process control,predictive control has been considered to be an important advanced control method.According to the characteristics of industrial process control and further demand,the survey about the new advances in predictive control for industrial process control area in recent years is presented,including;real-time idenfifioation method...

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期刊信息
  • 《控制工程》
  • 中国科技核心期刊
  • 主管单位:教育部
  • 主办单位:东北大学
  • 主编：柴天佑
  • 地址：沈阳市东北大学310信箱
  • 邮编：110004
  • 邮箱：kzgcbjb@mail.neu.edu.cn
  • 电话：024-23883498 83688973
  • 国际标准刊号：ISSN：1671-7848
  • 国内统一刊号：ISSN：21-1476/TP
  • 邮发代号:8-216
  • 获奖情况:
  • 国内外数据库收录:
  • 美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）
  • 被引量:10591