Estimation of MIMO System with Nonlinear Distortion at the input: An Adaptive Approach

Author

Even, Jani ; Sugimoto, Kenji

Author_Institution

Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol.

fYear

2006

Firstpage

3984

Lastpage

3989

Abstract

This paper deals with the identification of multi-input multi-output dynamical systems under nonlinear distortion in the input. The online identification is conducted in two steps. First, the distorted signals are recovered from the observed output by using an adaptive blind signal deconvolution technique. An estimation of the linear part of the system is also obtained in this first step. Then an online estimation of the nonlinear distortions is also obtained using observed inputs and recovered signals

Keywords

MIMO systems; adaptive systems; blind source separation; deconvolution; nonlinear distortion; MIMO system; adaptive blind signal deconvolution technique; distorted signals; multiinput multioutput dynamical systems; nonlinear distortion; online estimation; Adaptive systems; Control engineering; Control system synthesis; Deconvolution; Independent component analysis; Information science; MIMO; Nonlinear distortion; Signal processing; System identification; Adaptive system; Independent Component Analysis; Nonlinear distortion;

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.2006.314915

Filename

4108204