Nonlinear internal model control based on support vector machine αth-order inverse system method

被引：8

作者：

State Key Lab. of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China ^{[1
]}

机构：

[1] State Key Lab. of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University

来源：

Zidonghua Xuebao | 2007年 / 7卷 / 778-781期

关键词：

Inverse system method; Nonlinear internal model control; Robust stability; Support vector machine;

D O I：

10.1360/aas-007-0778

中图分类号：

学科分类号：

摘要：

To improve the robustness and anti-interference of traditional inverse system methods, a new internal model control method based on support vector machine (SVM) αth-order inverse system method is proposed. The method cascades the αth-order inverse model approximated by support vector machine with the original system to get the composite pseudo-linear system. Then the internal model control method is introduced into the pseudo-linear system. The effectiveness of the method is validated through simulation. Both the theoretical analysis and the simulation results show that the combined method does not depend on the accurate mathematical model and has good robustness stability, design simplicity and high tracking accuracy. And this approach is one of the applicable methods for the control of nonlinear systems.

引用

页码：778 / 781

页数：3

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