Development and investigation of synthesis methods for high-precision control systems of compound dynamic objects under parametric uncertainty

The paper examines the control problem of compound nonlinear dynamic objects with time variables, uncertain parameters, and environmental effects. A unified approach and a several original methods are proposed for synthesizing multilevel self-tuning, adaptive and robust control systems that ensure high control performance. Simulation results have confirmed the operability and high effectiveness of the synthesized control systems under uncertainties and essential variability of the dynamic objects' parameters.