SIMULTANEOUS PARAMETRIC IDENTIFICATION FOR THE COUPLED RELAXATION GENERATORS SYSTEM
DOI:
https://doi.org/10.34185/1991-7848.itmm.2022.01.057Ключові слова:
parametric identification, chaotic systems, relaxation generatorАнотація
This paper is devoted to the identification system creation for the coupled relaxation generators system. This nonlineear system can demonstrate both complex-periodic and chaotic behaviour. Proposed identification system, unlike previous one, must be capable to conduct simultaneous identification of the set of parameters. Identification method is based on the moving average and regression analysis methods hybridization. This method is capable to negate the noise impact after differentiation. Special lock and reset system block accumulators during relaxation pulses. The workability and dynamic properties was researched on real equipment. Dynamic characteristics of the method under consideration appears to be sufficient to track parameters values both in complex-periodic or chaotic modes.
Посилання
Sprott J.C. Strange attractors: creating patterns in chaos. — MT Books; 1993. — 350 p.
Shatalov, Michael Y., et al. “Parameter Identification of Lorenz System with Incomplete Information: Case of One Unknown Function.” International Journal of Engineering Research in Africa, vol. 55, Trans Tech Publications, Ltd., 10 Aug. 2021, pp. 82–102. doi:10.4028/www.scientific.net/jera.55.82.
Guda A.I., Mikhalyov A.I. Criteria synthesis problem for the chaotic systems identification // Proceedings of the 2016 IEEE 1st International Conference on Data Stream Mining and Processing, DSMP 2016, — Lviv, Ukraine, 08.2016. — С. 125—128. — DOI: 10.1109/ DSMP.2016.7583522
Guda A., Zimoglyad А / Simultaneous identification of the all parameters for the Lorenz chaotic system // Regional interuniversity compendium of scientific works "System technologies" № 6 (125) 2019 «System technologies P. 68–75.
Guda A.I., Mikhalyov A.I. Multi-models identification methods comparison in the non-linear dynamic system identification task // Радиоэлектроника, информатика, управление. — Запорiжжя, ЗНТУ, 2016. — No 4. — С. 112— 119. — DOI: 10.15588/1607-3274-2016-4-14
Guda A.I., Mikhalyov A.I. Method of Lorenz systems parametric identification by the searching models ensemble objects // Scientific and Technical Conference “Computer Sciences and Information Technologies” (CSIT) – 2015 – P. 73–75.