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Integrated neuro-fuzzy model and dynamic R-parameter based quadratic criterion-iterative learning control for batch process
文献类型:会议论文
作者:Jia, Li[1]  Shi, Jiping[2]  Chiu, Min-Sen[3]  
机构:[1]Shanghai Univ, Coll Mechatron Engn & Automat, Dept Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China.;
[2]Shanghai Univ, Coll Mechatron Engn & Automat, Dept Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China.;
[3]Natl Univ Singapore, Dept Chem & Biomol Engn, Singapore 117548, Singapore.;
年:2012
通讯作者:Jia, L (reprint author), Shanghai Univ, Coll Mechatron Engn & Automat, Dept Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China.
会议名称:NEUROCOMPUTING
页码范围:24-33
会议开始日期:2012-12-03
收录情况:SCI(E)(WOS:000310864900004)  CPCI-S(WOS:000310864900004)  
所属部门:机电工程与自动化学院
人气指数:46
浏览次数:46
被引频次:9
语言:外文
关键词:Batch process; Iterative learning control; Quadratic criterion; Neuro-fuzzy model
摘要:
Considering the potentials of iterative learning control as a framework for industrial batch process control and optimization, an integrated neuro-fuzzy model and dynamic R-parameter based quadratic criterion-iterative learning control is proposed in this paper. Firstly, a novel integrated neuro-fuzzy model is used to obtain more accurate model of batch processes, which is not only along the time axle but also along batch axle. Next, quadratic criterion-iterative learning control with dynamic pa ...More
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