A Simple Redesign of Adaptive Control for Nonlinear Parametric Models

Author

Miyasato, Yoshihiko

Author_Institution

Inst. of Stat. Math., Tokyo

fYear

2006

Firstpage

2404

Lastpage

2407

Abstract

A simple design method of adaptive control for processes which are described via nonlinear parametric models, is considered in this manuscript. It is shown that the proposed design procedure can be applied to high relative degree cases without complicated control structures, and that semi-global stability of the control systems is assured. High-gain observers are introduced to simplify the overall control structures, and nonlinear damping feedback schemes are employed so as to stabilize control systems for nonlinear parametric models and estimation errors of the observers

Keywords

adaptive control; control system synthesis; damping; error statistics; estimation theory; feedback; neurocontrollers; nonlinear systems; observers; stability; adaptive control design; control system stability; estimation error; high-gain observer; neural network; nonlinear damping feedback; nonlinear parametric model; Adaptive control; Control system synthesis; Control systems; Damping; Design methodology; Estimation error; Feedback; Nonlinear control systems; Parametric statistics; Stability; adaptive control; high-gain observer; neural network; nonlinear parametric model;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE-ICASE, 2006. International Joint Conference

Conference_Location

Busan

Print_ISBN

89-950038-4-7

Electronic_ISBN

89-950038-5-5

Type

conf

DOI

10.1109/SICE.2006.315109

Filename

4108043