In the paper, the problem of multiple controlled synchronization of a pair of unbalanced rotors is considered. To ensure the desired system behavior in the face of uncertainty and variations of the system parameters a novel adaptive control law based on the Implicit Reference Model (IRM) approach taking into account the discrete-time implementation is proposed and studied both by the computer simulations and experiments on the Multiresonance Mechatronic Laboratory Setup (MMLS) SV-2M of the IPME RAS, demonstrating the efficiency of the proposed approach and revealing its application scope.

The paper considers an electromechanical mobile robotic system in which the behavior of a human operator is imitated through computer modeling. Identification algorithms of the parameters of the human operator for linear and nonlinear systems are proposed. The application of this approach in the design of an automated human-machine control system is also described. The results of the research are illustrated by the example of a fly-by-wired pilot-aircraft system. It is shown how the change in the system parameters affects the handling quality characteristics of the robotic system.