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An integrated iterative learning control strategy with model identification and dynamic R-parameter for batch processes
文献类型:期刊论文
作者:Jia, Li[1]  Yang, Tian[2]  Chiu, Minsen[3]  
机构:[1]Department of Automation, College of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
[2]Department of Automation, College of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
[3]National University of Singapore, Department of Chemical and Biomolecular Engineering, Singapore 117576, Singapore
通讯作者:Jia, L.(jiali@staff.shu.edu.cn)
年:2013
期刊名称:JOURNAL OF PROCESS CONTROL影响因子和分区
卷:23
期:9
页码范围:1332-1341
增刊:正刊
收录情况:SCI(E)(WOS:000327005700010)  EI(20134216850329)  
所属部门:机电工程与自动化学院
语言:外文
ISSN:0959-1524
被引频次:12
人气指数:56
浏览次数:56
关键词:Batch process; Integrated learning control; Iterative learning control (ILC); Model identification; Dynamic parameter
摘要:
An integrated iterative learning control strategy with model identification and dynamic R-parameter is proposed in this paper. It systematically integrates discrete-time (batch-axis) information and continuous-time (time-axis) information into one uniform frame, namely the iterative learning controller in the domain of batch-axis, while a PID controller (PIDC) in the domain of time-axis. As a result, the operation policy of batch process can be regulated during one batch, which leads to superior ...More
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