Feedback-assisted iterative learning control for batch polymerization reactor

被引：0
作者：
Li, SC [1 ]
Xu, XH
Ping, L
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
[2] Liaoning Univ Petr & Chem Technol, Sch Informat Engn, Fushun 113001, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2 | 2004年 / 3174卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An algorithm of the feedback-assisted iterative learning control (FBAILC) was proposed for a batch repeatable operation process. Control law of FBAILC was based on the inverse of process model, added the filter polynomial in iterative learning and analyzed the convergence of FBAILC algorithm. On-line estimator method of the process parameters was introduced in application, which achieved the parameter self-tuning of controller. The effectiveness of the proposed method was demonstrated by simulation results.
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页码：181 / 187
页数：7
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