基于有理平方根b样条模型的概率密度函数预测控制

Jinfang Zhang, Wei Wang, Jian-hang Zhang, G. Hou
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引用次数: 7

摘要

基于有理平方根b样条概率密度函数模型,提出了一种概率密度函数的预测控制算法。首先研究有理平方根PDF模型,在分析拟权值与实际权值关系的基础上,可以方便地建立有理平方根b样条模型;然后推导出预测模型;然后选择性能指标,设计预测控制器;并对苯乙烯聚合过程的分子量分布控制进行了仿真研究,验证了预测控制算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probability density function predictive control based on the rational square-root B-spline model
A predictive control algorithm for probability density function (PDF) is presented based on the rational square-root B-spline based PDF model. The rational square-root PDF model is studied first, based on the analysis of the relationship between the pseudo weight and the actual weight, the rational square-root B-spline model can be easily set up; then the predictive model is deduced; a performance index is chosen next to design the predictive controller; and simulation study is performed for the molecular weight distribution (MWD) control of a styrene polymerization process to test the validity of the predictive control algorithm.
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