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Identification of the mathematical model of the control object based on the genetic algorithm

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dc.contributor.author COJUHARI, Irina
dc.contributor.author FIODOROV, Ion
dc.contributor.author IZVOREANU, Bartolomeu
dc.contributor.author MORARU, Dumitru
dc.contributor.author LISNIC, Inga
dc.date.accessioned 2019-11-02T10:50:48Z
dc.date.available 2019-11-02T10:50:48Z
dc.date.issued 2019
dc.identifier.citation COJUHARI, Irina, FIODOROV, Ion, IZVOREANU, Bartolomeu et al. Identification of the mathematical model of the control object based on the genetic algorithm. In: Electronics, Communications and Computing: extended abstracts of the 10th Intern. Conf.: the 55th anniversary of Technical University of Moldova, Chişinău, October 23-26, 2019. Chişinău, 2019, p. 40. ISBN 978-9975-108-84-3. en_US
dc.identifier.isbn 978-9975-108-84-3
dc.identifier.uri http://repository.utm.md/handle/5014/5892
dc.description Abstract en_US
dc.description.abstract In industrial automation is widely used the PID control algorithm and there are many tuning methods of typical controllers as: the empirical methods based on the classical methods of finding the tuning parameters developed by Ziegler-Nichols, analytical methods, graph-analytical methods and methods based on the optimization techniques. A large class of these methods require to be known the mathematical model of the technological process, that involves to be used the identification procedure. Identification procedure suppose mathematical modelling of the technological process, based on the experimental data acquisition. There are two kind of identification methods: parametric and non-parametric methods. There are a lot of parametric methods that permit to obtain the mathematical model of the technological process as: model adjustment method, iterative optimization, neural network etc. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject identification en_US
dc.subject mathematical model en_US
dc.subject transfer function en_US
dc.title Identification of the mathematical model of the control object based on the genetic algorithm en_US
dc.type Article en_US


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  • 2019
    Extended Abstracts of the: The 10th IC|ECCO; October 23-26, 2019

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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