A simple redesign of adaptive control for nonlinear parametric models with state variable filters

Author

Miyasato, Yoshihiko

Author_Institution

Inst. of Stat. Math., Tokyo

fYear

2007

fDate

17-20 Sept. 2007

Firstpage

458

Lastpage

463

Abstract

A simple design method of adaptive control for processes which are described via nonlinear parametric models and state variable filters, is considered in the present 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 with state variable filters and estimation errors of the observers.

Keywords

adaptive control; control system synthesis; damping; feedback; neurocontrollers; nonlinear control systems; observers; stability; adaptive control redesign; control structures; high-gain observers; neural network; nonlinear damping feedback schemes; nonlinear parametric models; observer estimation errors; semiglobal stability; state variable filters; Adaptive control; Adaptive filters; Control systems; Damping; Design methodology; Nonlinear control systems; Observers; Parametric statistics; Stability; State feedback; adaptive control; high-gain observer; neural network; nonlinear parametric model;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE, 2007 Annual Conference

Conference_Location

Takamatsu

Print_ISBN

978-4-907764-27-2

Electronic_ISBN

978-4-907764-27-2

Type

conf

DOI

10.1109/SICE.2007.4421027

Filename

4421027