An Augmented Automatic Choosing Control of a Formal Linearization Filter Type for Nonlinear Systems

This paper is concerned with single nonlinear feedback control for nonlinear systems with noisy measurement. A given nonlinear system is linearized piecewise to design the linear optimal controllers, which are then smoothly united into a single nonlinear feedback controller by an automatic choosing...

Full description

Saved in:
Bibliographic Details
Published inJournal of Signal Processing Vol. 18; no. 1; pp. 63 - 70
Main Authors Hachino, Tomohiro, Takata, Hitoshi, Osako, Soichiro, Yunokuchi, Kazutomo, Miyajima, Hiromi, Komatsu, Kazuo
Format Journal Article
LanguageEnglish
Published Tokyo Research Institute of Signal Processing, Japan 01.01.2014
Japan Science and Technology Agency
Subjects
augmented automatic choosing control
formal linearization
nonlinear control
nonlinear filter
Online AccessGet full text

Cover

More Information
Summary:This paper is concerned with single nonlinear feedback control for nonlinear systems with noisy measurement. A given nonlinear system is linearized piecewise to design the linear optimal controllers, which are then smoothly united into a single nonlinear feedback controller by an automatic choosing function. The state estimation is carried out using a nonlinear filter on the basis of the following formal linearization. This filter is synthesized by applying the extended Kalman filter technique to the augmented system that adds some polynomials of nonlinear measurement terms to the given nonlinear system. This is called an augmented automatic choosing control of a formal linearization filter type (AACCFLF). Simulation results are shown to demonstrate the effectiveness of the proposed method.
ISSN:1342-6230
1880-1013
DOI:10.2299/jsp.18.63