Neural networks based model for sandwich system with hysteresis

Author

Dong, Ruili ; Tan, Qingyuan ; Tan, Yonghong

Author_Institution

Coll. of Inf., Mech. & Electr. Eng., Shanghai Normal Univ., Shanghai, China

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

739

Lastpage

743

Abstract

A method for modeling of the sandwich systems with hysteresis is proposed. Considering hysteresis involved in the system is a non-smooth function, the generalized gradients at non-smooth points are introduced. In order to realize the transformation of the multi-valued mapping of the sandwich system with hysteresis into a one-to-one mapping, an expanded input space is constructed. In this case, the neural networks can be applied to the approximation of the systems. Finally, experimental results on a micro-positioning stage with piezoelectric actuators are illustrated to show the validity of the proposed approach.

Keywords

hysteresis; micropositioning; neural nets; nonlinear control systems; piezoelectric actuators; hysteresis; micropositioning stage; multivalued mapping; neural networks; nonsmooth function; one-to-one mapping; piezoelectric actuators; sandwich system; Control systems; Frequency; Hysteresis; Neural networks; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Piezoelectric actuators; Shape; Vibration control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5400850

Filename

5400850