A robust adaptive dynamic surface control for a class of nonlinear systems with unknown Prandtl-Ishilinskii hysteresis-Reference-Cited by-同舟云学术

A robust adaptive dynamic surface control for a class of nonlinear systems with unknown Prandtl-Ishilinskii hysteresis

Published:2010-09-20 Issue:13 Volume:21 Page:1541-1561
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int. J. Robust Nonlinear Control

Author:

Zhang Xiuyu,Lin Yan,Mao Jianqin

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference40 articles.

1. Hysteresis compensation in electromagnetic actuators through Perisach model inversion;Mittal;IEEE Transactions on Mechatronics,2000

2. Modeling and control of hysteresis in magnetostrictive actuators;Tan;Automatica,2004

3. Hysteresis modeling of SMA actuators for control applications;Webb;Journal of Intelligent Material Systems and Structures,1998

4. Stepanenko Y Su CY Intelligent control of piezoelectric actuator 4234 4239

5. Adaptive control of plants with unknown hysteresis;Tao;IEEE Transactions on Automatic Control,1995

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