Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
USHAKOV, P. MAKSIMOV, K. STOYCHEV, S. GRAVSHIN, V. KUBÁNEK, D. KOTON, J.
Originální název
Synthesis of Elements with Fractional-Order Impedance Based on Homogenous Distributed Resistive-Capacitive Structures and Genetic Algorithm
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The work proposes a synthesis method of capacitive fractional-order impedance element which is composed of homogenous distributed resistive-capacitive (RC) structures (lines). The method employs genetic algorithm and searches for optimal connection schemes and parameters of the partial RC structures. The synthesis algorithm is described in detail including the coding of the properties of the structures for the purpose of the genetic algorithm. The user interface of the design tool is introduced and the input and output parameters of the synthesis are explained. The algorithm was verified by computer simulations and particularly by measurements of element samples fabricated in thick-film technology. The results correspond to the required impedance characteristics, which confirm the validity of the synthesis method.
Klíčová slova
Fractional-order impedance; Fractional-order element; Distributed resistive-capacitive structure; Circuit synthesis
Autoři
USHAKOV, P.; MAKSIMOV, K.; STOYCHEV, S.; GRAVSHIN, V.; KUBÁNEK, D.; KOTON, J.
Vydáno
1. 9. 2020
Nakladatel
Elsevier
ISSN
2090-1232
Periodikum
Journal of Advanced Research
Ročník
25
Číslo
1
Stát
Egyptská arabská republika
Strany od
275
Strany do
283
Strany počet
9
URL
https://www.sciencedirect.com/science/article/pii/S2090123220301302
Plný text v Digitální knihovně
http://hdl.handle.net/11012/195750
BibTex
@article{BUT165350, author="Peter A. {Ushakov} and Kirill {Maksimov} and Stanislav Valerevich {Stoychev} and Vladimir Gennadievich {Gravshin} and David {Kubánek} and Jaroslav {Koton}", title="Synthesis of Elements with Fractional-Order Impedance Based on Homogenous Distributed Resistive-Capacitive Structures and Genetic Algorithm", journal="Journal of Advanced Research", year="2020", volume="25", number="1", pages="275--283", doi="10.1016/j.jare.2020.06.021", issn="2090-1232", url="https://www.sciencedirect.com/science/article/pii/S2090123220301302" }