Md. A. Design of adaptive methods for digital control systems with reference model

The object is dynamic stochastic objects with considerable parameter disturbances. The aims to create means of adaptation and modeling for adaptive digital systems with reference model for objects of the various order. The methods are theory of adaptive control with reference performances; theory of system sensitivity; gradient methods; theory of hyperstability; theory of robust control; imitation modeling. The new approach lies in design of modified procedures of adaptation based on application of sensitivity functions. The basic attention is given to the analysis of stability of considered systems and rating of quality of adaptation. Recurrent procedures of model parameters adaptive tuning in real-time are proposed. The method for estimation of robustness of control systems with reference model is synthesized. The results of modeling of adaptive systems for objects of the various order are given. The sphere of use is the control digital systems for energetic and chemical technology objects.