The iterative procedure of the model parameters estimation at action of the painted noise
The practical researches considerable cost of the various operated productions, the difficulties arising when carrying out experiments, and also existence of the revolting noises and other random factors, results in need of the special mathematical apparatus development for the various control systems creation and use of results from the adjacent field of science and technique. In many cases it is necessary to estimate not only the system condition, but also to estimate the object parameters. For the solution of the system parameters estimation problem or, in other words, for the solution of the identification problem, many methods are offered, but still there is no method which would be ideal and well used in all chances. It is desirable to have such procedure of the system identification which would possess, for example, the set properties of efficiency, the realization simplicity, a possibility of identification in real time. In this case the system parameters identification problem could be solved with the object condition estimation problem in parallel. The algorithms optimality depends in a varying degree on the reliability of those data which are used at the mathematical model description. In some cases, the results quality received during the work of the estimation algorithms can be low because of the exact data lack. The method choice used in engineering practice in many respects depends on the concrete mathematical object, and also on the requirements imposed on the method convergence, or, for example, the restrictions, imposed on the control. In this work the practical example of the model parameters estimation iterative procedure in the presence of the painted noise is given.