Elimination theory for nonlinear parameter estimation

John Chiasson, Ahmed Oteafy

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

The work presented here exploits elimination theory (solving systems of polynomial equations in several variables) [1][2] to perform nonlinear parameter identification. In particular show how this technique can be used to estimate the rotor time constant and the stator resistance values of an induction machine. Although the example here is restricted to an induction machine, parameter estimation is applicable to many practical engineering problems. In [3], L. Ljung has outlined many of the challenges of nonlinear system identification as well as its particular importance for biological systems.

Original languageEnglish
Title of host publicationAdvances in the Theory of Control, Signals and Systems with Physical Modeling
PublisherSpringer Verlag
Pages65-75
Number of pages11
ISBN (Print)9783642161346
DOIs
StatePublished - 2010

Publication series

NameLecture Notes in Control and Information Sciences
Volume407
ISSN (Print)0170-8643

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