A problem of nonparametric control of dynamic objects in discrete-continuous process is considered. The emphasis is placed on development of dual control non-parametric algorithms. Results of simulation experiment are described in details. These results demonstrate that the quality of control can be considerably improved in comparison with standard controllers by using the non-parametric dual control algorithm.

The problem of controlling nonlinear dynamic systems under conditions of incomplete a priori information about the model of the differential equation of the process is considered. Nonparametric models are given in which the order of the difference equation of the dynamic process is refined based on the rule for distinguishing significant variables. According to this rule, only those variables are included in the nonparametric model for which the minimum bandwidth is minimal. Nonparametric algorithms of dual control of nonlinear objects are given. Control devices built on the basis of these algorithms perform not only the direct function of controlling the object, but also its study. The process of training the dual control system with active accumulation of information is analyzed. The results of a numerical study of the application of the nonparametric adaptive dual control algorithm are presented.

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The paper discusses the quality diagnostics of electrical radio components based on the results of non-destructive testing. A proposed clustering algorithm does not require preliminary information on the number of classes and the training sample. The algorithm allows to automatically determine the number of classes. The division into classes is due to the different characteristics of the measured variables, which correspond to different product quality ranges.

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