Parameter estimation of linear and nonlinear systems based on orthogonal series | Zendy

David Alejo | Zendy; Lázaro Isidro | Zendy; Rico Jesús | Zendy; Alberto Álvarez | Zendy

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Parameter estimation of linear and nonlinear systems based on orthogonal series

Author(s) -

David Alejo,

Lázaro Isidro,

Rico Jesús,

Alberto Álvarez

Publication year - 2012

Publication title -

procedia engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.32

H-Index - 74

ISSN - 1877-7058

DOI - 10.1016/j.proeng.2012.04.166

Subject(s) - nonlinear system , control theory (sociology) , series (stratigraphy) , mathematics , algebraic equation , orthogonal functions , frequency domain , nonlinear system identification , system identification , linear system , estimation theory , azimuth , computer science , algorithm , mathematical analysis , control (management) , data modeling , artificial intelligence , paleontology , physics , quantum mechanics , geometry , database , biology

A frequency domain based methodology using orthogonal series for estimation Linear systems and nonlinear systems is presented. The method can be used in the parameter identification of linear and nonlinear systems. The main advantage of using orthogonal functions is that integro-differentials equations are transformed into algebraic equations, this facilitates the identification process. The method presented in this paper was proved satisfactory to estimate parameters in two applications: An antenna azimuth position control system and a single phase transformer

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