USAGE OF INVARIANT IMMERSION METHOD FOR IDENTIFICATION OF PARAMETERS FOR SYSTEMS WITH LIMITED OUTPUT (HARD LIMITATION IN OBSERVATION EQUATION).
In the paper, an approach based on the invariant embedding method for the non-stationary plant identification is considered. Synthesis of continuous and discrete time algorithms of the non-stationary dynamic plant identification is implemented. Program code implementation and testing of the algorithms obtained is done, and recommendations on their adjustment are formed. By use of the algorithms obtained, an estimation of the gain (transfer constant), time constant, and damping decrement of the servodrive and glider of a revolving unmanned aircraft is implemented. For a comparison, an estimated obtained by the linear Kalman filtering is also presented. The account of limitations on output coordinate provides more exact estimation of a transmission factor of the dynamic object