Efficiency Analysis of Quasi-Optimal Control Laws Using Fuzzy Logic in Transport Systems Intellectualization

The analysis examines the use of control laws developed through the quasi-optimal synthesis method and the maximum condition of the generalized power function. Fuzzy logic is used to address intellectualization challenges in controlling railroad transport systems. The systems' schemes were constructed using the MATLAB Simulink environment. The fuzzy logic inference block, Takagi-Sugeno, was implemented in Fuzzy Logic Designer. The analysis of the modeling results indicates that the proposed control law can improve control efficiency in terms of speed and accuracy functionals when compared to the known solution based on the approach of differential games and Pontryagin's maximum principle in control problems of typical dynamic objects.