제어로봇시스템학회:학술대회논문집
- 1996.10a
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- Pages.177-180
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- 1996
On the robust adaptive linearizing control for unknown and analytic relay nonlinearity
- Lee, Jae-Kwan (Department of Electrical Engineering, Faculty of Engineering, Tohoku University) ;
- Abe, Ken-ichi (Department of Electrical Engineering, Faculty of Engineering, Tohoku University)
- Published : 1996.10.01
Abstract
The purpose of this paper is to design a robust adaptive control algorithm for a class of systems having continuous relay nonlinearity. This continuous relay nonlinearity can be defined as an analytic nonlinear function having unknown parameters and bounded unmodeling part. By this mathematical modeling, the whole system can be considered as a nonlinear system having unknown parameters and bounded perturbation. The control algorithm of this paper, RALC, can be constructed by robust adaptive law, feedback linearization, and indirect robust adaptive control. By this RALC, we can obtain that the output of given system can follow that of a stable reference linear model made by designer and the boundedness of all signals in closed-loop system can be maintained. Therefore, we can confirm a robust adaptive control for a class of systems having continuous relay nonlinearity.
Keywords
- Continuous relay nonlinearity;
- robust adaptive law;
- Feedback linearization;
- Indirect adaptive controller;
- Computer simulation