DocumentCode
1732781
Title
SVR based estimation modeling and robust nonlinear control for a miniature pneumatic curling rubber actuator
Author
Kawashima, Toshihiro ; Wang, Aihui ; Wakimoto, Shuichi ; Deng, Mingcong
Author_Institution
Grad. Sch. of Eng., Tokyo Univ. of Agric. & Technol., Koganei, Japan
fYear
2012
Firstpage
304
Lastpage
309
Abstract
In this paper, a nonlinear modeling and an operator-based robust nonlinear control by using robust right coprime factorization approach for a miniature pneumatic curling rubber actuator described by support vector regression (SVR) based estimation model are investigated. That is, first, the nonlinear modeling is obtained by using moment relationship. Second, the robust nonlinear control system using robust right coprime factorization approach is designed. Finally, by using SVR, the input-output model is estimated by experimental data, and the effectiveness of the proposed scheme is confirmed by using the SVR based estimation model.
Keywords
control system synthesis; matrix decomposition; nonlinear control systems; pneumatic actuators; regression analysis; robust control; rubber; support vector machines; SVR based estimation modeling; input-output model; miniature pneumatic curling rubber actuator; moment relationship; nonlinear modeling; operator-based robust nonlinear control; robust right coprime factorization; support vector regression based estimation model; Actuators; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Mechatronic Systems (ICAMechS), 2012 International Conference on
Conference_Location
Tokyo
ISSN
1756-8412
Print_ISBN
978-1-4673-1962-1
Type
conf
Filename
6329728
Link To Document