基于多核支持向量机的非线性模型预测控制(英文)

被引：20

作者：

包哲静

皮道映

孙优贤

机构：

[1] StateKeyLaboratoryofIndustrialControlTechnology,InstituteofIndustrialProcessControl,ZhejiangUniversity

来源：

ChineseJournalofChemicalEngineering | 2007年 / 05期

关键词：

nonlinear model predictive control; support vector machine with multi-kernel; nonlinear system iden- tification; kernel function;

D O I：

暂无

中图分类号：

O231 [控制论（控制论的数学理论）];

学科分类号：

070105 ; 0711 ; 071101 ; 0811 ; 081101 ;

摘要：

Multi-kernel-based support vector machine(SVM)model structure of nonlinear systems and its specific identification method is proposed,which is composed of a SVM with linear kernel function followed in series by a SVM with spline kernel function.With the help of this model,nonlinear model predictive control can be trans-formed to linear model predictive control,and consequently a unified analytical solution of optimal input of multi-step-ahead predictive control is possible to derive.This algorithm does not require online iterative optimiza-tion in order to be suitable for real-time control with less calculation.The simulation results of pH neutralization process and CSTR reactor show the effectiveness and advantages of the presented algorithm.

引用

页码：691 / 697

页数：7

共 6 条

[1]

SVM with Quadratic Polynomial Kernel Function Based Nonlinear Model One-step-ahead Predictive Control[J]. 钟伟民,何国龙,皮道映,孙优贤.Chinese Journal of Chemical Engineering. 2005(03)

[2] 基于支持向量机的非线性模型预测控制 [J].