SUMMARY
In this article a couple of identification methods for non-linear (possibly chaotic) dynamic systems are under consideration. Advantagesand drawbacks of existent methods are mentioned. All methods under consideration make use a number of models. Different tactics for themodels parameter movement for identification task solving are proposed. The simplest tactic uses models with fixed parameters. Thismethod have simple realization, provide best identification speed and worst accuracy. Method with band-limited models allows us achievebetter accuracy due to each model moving to its local extremum, but suffers to high-frequency oscillation, due to ignorance of theidentification system dynamic itself. Approach with models, which movement simulates body movement under external forces and viscousfriction demonstrates minimal identification errors among with significant speed. Identification process simulations are conducted andconclusion are made. According to simulation results advantages are highlighted and drawbacks are studied. Conclusions allows to makecorrect choice in identification method selection task. Also the results allows us to correctly chose some parameters on the identificationsystem.