@article{Guda_Mikhalyov_2017, title={MULTI-MODELS IDENTIFICATION METHODS COMPARISON IN THE NON-LINEAR DYNAMIC SYSTEM IDENTIFICATION TASK}, url={http://ric.zntu.edu.ua/article/view/90656}, DOI={10.15588/1607-3274-2016-4-14}, abstractNote={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.}, number={4}, journal={Radio Electronics, Computer Science, Control}, author={Guda, A. I. and Mikhalyov, A. I.}, year={2017}, month={Jan.} }