BCLS method for the estimation of continuous-time models in closed loop enviornment

Author

Ikeda, Kenji ; Mogami, Yoshio ; Shimomura, Takao

Author_Institution

Inst. of Technol. & Sci., Univ. of Tokushima, Tokushima, Japan

fYear

2010

fDate

8-10 Sept. 2010

Firstpage

1369

Lastpage

1373

Abstract

This paper proposes a bias-compensated least squares (BCLS) method for a continuous-time model estimation in closed loop environment. The feedback controller is assumed to be linear time invariant discrete-time system and the feedback system is assumed to be asymptotically stable. It is also assumed that the control input is a zeroth order hold signal. The aim of the proposed method is to reduce the computational cost which will be required for the conventional method.

Keywords

asymptotic stability; closed loop systems; compensation; continuous time systems; discrete time systems; feedback; least squares approximations; linear systems; BCLS method; asymptotic stability; bias-compensated least squares method; closed loop environment; continuous-time model estimation; feedback controller; feedback system; linear time invariant discrete-time system; zeroth order hold signal; Biological system modeling; Computational modeling; Estimation; Least squares approximation; Noise; Numerical models; Transfer functions; Bias compensation; Closed loop systems; Continuous time model; Least squares method; Parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications (CCA), 2010 IEEE International Conference on

Conference_Location

Yokohama

Print_ISBN

978-1-4244-5362-7

Electronic_ISBN

978-1-4244-5363-4

Type

conf

DOI

10.1109/CCA.2010.5611132

Filename

5611132