Title :
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.
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;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.314915
