Approximation of Nonlinear Systems using the Best Linear Approximation: An introduction.

Peter Zoltan Csurcsia

Approximation of Nonlinear Systems using the Best Linear Approximation: An introduction.

Peter Zoltan Csurcsia

Electricity

Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript

Abstract

The aim of this paper to present one of the possible ways to handle the static weakly nonlinear time invariant systems using a simple method as an extension of Least Squares Estimation called Best Linear Approximation. The basic definition as the assumption will be given with illustrative examples to make the understanding very clearly.

Original language	English
Title of host publication	Seventh International PhD & DLA Symposium
Publication status	Published - 24 Oct 2011

Keywords

NONL

Handle.net

Persistent link

Cite this

@inbook{0ac8eee6385f4f9abbfd82e313f6c57d,

title = "Approximation of Nonlinear Systems using the Best Linear Approximation: An introduction.",

abstract = "The aim of this paper to present one of the possible ways to handle the static weakly nonlinear time invariant systems using a simple method as an extension of Least Squares Estimation called Best Linear Approximation. The basic definition as the assumption will be given with illustrative examples to make the understanding very clearly.",

keywords = "NONL",

author = "Csurcsia, {Peter Zoltan}",

year = "2011",

month = oct,

day = "24",

language = "English",

isbn = "978-963-7298-46-2",

booktitle = "Seventh International PhD & DLA Symposium",

}

TY - CHAP

T1 - Approximation of Nonlinear Systems using the Best Linear Approximation: An introduction.

AU - Csurcsia, Peter Zoltan

PY - 2011/10/24

Y1 - 2011/10/24

N2 - The aim of this paper to present one of the possible ways to handle the static weakly nonlinear time invariant systems using a simple method as an extension of Least Squares Estimation called Best Linear Approximation. The basic definition as the assumption will be given with illustrative examples to make the understanding very clearly.

AB - The aim of this paper to present one of the possible ways to handle the static weakly nonlinear time invariant systems using a simple method as an extension of Least Squares Estimation called Best Linear Approximation. The basic definition as the assumption will be given with illustrative examples to make the understanding very clearly.

KW - NONL

M3 - Foreword/postscript

SN - 978-963-7298-46-2

BT - Seventh International PhD & DLA Symposium

ER -

Approximation of Nonlinear Systems using the Best Linear Approximation: An introduction.

Abstract

Keywords

Handle.net

Fingerprint

Cite this