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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

A New Method of the Intelligent Modeling of the Nonlinear Dynamic Objects with Fuzzy Detection of the Operating Points

verfasst von : Piotr Dziwiński, Eduard D. Avedyan

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

The paper presents a new method of the intelligent modeling of the nonlinear dynamic objects with online detection of significant operating points from non-invasive measurements of the nonlinear dynamic object. The PSO-GA algorithm is used to identify the unknown values of the system matrix describing the nonlinear dynamic object in the detected operating points. The Takagi-Sugeno fuzzy system determines the values of the system matrix in the detected operating points. The new method was tested on the nonlinear electrical circuit with the three operating points. The obtained results prove efficiency of the new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points.

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Vorheriges Kapitel A New Approach for Using the Fuzzy Decision Trees for the Detection of the Significant Operating Points in the Nonlinear Modeling
Nächstes Kapitel Why Systems of Temporal Logic Are Sometimes (Un)useful?
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Metadaten
Titel
A New Method of the Intelligent Modeling of the Nonlinear Dynamic Objects with Fuzzy Detection of the Operating Points
verfasst von
Piotr Dziwiński
Eduard D. Avedyan
Copyright-Jahr
2016
Buch
Artificial Intelligence and Soft Computing

Print ISBN: 978-3-319-39383-4

Electronic ISBN: 978-3-319-39384-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-39384-1_25

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