On identification of nonlinear system parameters by the method of adjustible model

An approach to design of identification systems is proposed whereby the method ot adjustible (adaptive) model is used. The system to be identified is described by nonlinear differential equations with unknown parameters. The resultant algorithms make it possible to improve the accuracy of time of parameter identification.