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2017 | OriginalPaper | Buchkapitel

The Concept on Nonlinear Modelling of Dynamic Objects Based on State Transition Algorithm and Genetic Programming

verfasst von : Łukasz Bartczuk, Piotr Dziwiński, Vladimir G. Red’ko

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

In this paper a new hybrid method to determine parameters of time-variant non-linear models of dynamic objects is proposed. This method first uses the State Transition Algorithm to create many local models and then applies genetic programming in order to join and simplify those models. This allows to obtain simply model which is not computationally demanding and has high accuracy.

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Vorheriges Kapitel Multidimensional Signal Transformation Based on Distributed Classification Grid and Principal Component Analysis

Nächstes Kapitel A Method for Non-linear Modelling Based on the Capabilities of PSO and GA Algorithms

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Titel: The Concept on Nonlinear Modelling of Dynamic Objects Based on State Transition Algorithm and Genetic Programming
verfasst von: Łukasz Bartczuk
Piotr Dziwiński
Vladimir G. Red’ko
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Soft Computing
Print ISBN: 978-3-319-59059-2

Electronic ISBN: 978-3-319-59060-8

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-59060-8_20

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