Predictive Control of Multivariable Process System Based on Support Vector Machine Model
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Predictive Control of Multivariable Process System Based on Support Vector Machine Model
Vol. 16, Issue 4, Pages: 102-107(2011)
作者机构:
河北科技大学电气信息学院
作者简介:
基金信息:
DOI:
CLC:TP18;TP273
Published:2011
稿件说明:
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LI Zheng, XUE Zeng-tao, DENG Hui-qiong. Predictive Control of Multivariable Process System Based on Support Vector Machine Model[J]. 2011, 16(4): 102-107.
DOI:
LI Zheng, XUE Zeng-tao, DENG Hui-qiong. Predictive Control of Multivariable Process System Based on Support Vector Machine Model[J]. 2011, 16(4): 102-107.DOI:
Predictive Control of Multivariable Process System Based on Support Vector Machine Model
Based on the predictive control principle and support vector machine theory
this paper presents an intelligent predictive control scheme to solve the control difficulties of industry process with multi-variables.The rotary kiln calcination is the most important part of cement production including complicated physical and chemical reaction processes with large inertia
pure hysteresis
nonlinearity and strong coupling characteristics.Considering the need of advanced process control in cement industry