In this article a couple of identification methods for non-linear (possibly chaotic) dynamic systems are under consideration. Advantages<br />and drawbacks of existent methods are mentioned. All methods under consideration make use a number of models. Different tactics for the<br />models parameter movement for identification task solving are proposed. The simplest tactic uses models with fixed parameters. This<br />method have simple realization, provide best identification speed and worst accuracy. Method with band-limited models allows us achieve<br />better accuracy due to each model moving to its local extremum, but suffers to high-frequency oscillation, due to ignorance of the<br />identification system dynamic itself. Approach with models, which movement simulates body movement under external forces and viscous<br />friction demonstrates minimal identification errors among with significant speed. Identification process simulations are conducted and<br />conclusion are made. According to simulation results advantages are highlighted and drawbacks are studied. Conclusions allows to make<br />correct choice in identification method selection task. Also the results allows us to correctly chose some parameters on the identification<br />system.
Науковий журнал «Радіоелектроніка, інформатика, управління»
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Guda, A. I.; National Metallurgical Academy of Ukraine (NMetAU), Dnipro, Ukraine Mikhalyov, A. I.; National Metallurgical Academy of Ukraine (NMetAU), Dnipro, Ukraine |
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In this article a couple of identification methods for non-linear (possibly chaotic) dynamic systems are under consideration. Advantages<br />and drawbacks of existent methods are mentioned. All methods under consideration make use a number of models. Different tactics for the<br />models parameter movement for identification task solving are proposed. The simplest tactic uses models with fixed parameters. This<br />method have simple realization, provide best identification speed and worst accuracy. Method with band-limited models allows us achieve<br />better accuracy due to each model moving to its local extremum, but suffers to high-frequency oscillation, due to ignorance of the<br />identification system dynamic itself. Approach with models, which movement simulates body movement under external forces and viscous<br />friction demonstrates minimal identification errors among with significant speed. Identification process simulations are conducted and<br />conclusion are made. According to simulation results advantages are highlighted and drawbacks are studied. Conclusions allows to make<br />correct choice in identification method selection task. Also the results allows us to correctly chose some parameters on the identification<br />system. |
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Zaporizhzhya National Technical University 2017-01-20 00:00:00 |
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application/pdf http://ric.zntu.edu.ua/article/view/90656 |
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Radio Electronics, Computer Science, Control; No 4 (2016): Radio Electronics, Computer Science, Control |
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en |
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Copyright (c) 2017 A. I. Guda, A. I. Mikhalyov |
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