Fundamentals of systems and control theory as well as systems development identification theory were used for the purpose of the DPS Identification, which allowed to generate models of development, including models of development in the form of matrix th and the equations in the states space (ss). This served as the basis to develop the systemic model of the DPS system development, which was implemented in Simulink, by defining successive blocks of the model as characteristics of individual subsystems of the DPS, identified in the MATLAB environment using the System Identification Toolbox, and transformed into the models in the state space using the Control System Toolbox. As a result of solving a set of equations of state variables using an m-file in the MATLAB environment three state variables were obtained. Based on the obtained solution, responses of the DPS system (output variable y1) to the following types of input functions: unit step 1(θ), Dirac impulse δ(θ) and sin(θ) function were obtained. The results of experiments were interpreted. An attempt to design a system that corrects and adjusts the functioning of the model of the DPS was made using state regulator and state observer as an example.
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