Open access
2025
MACHINE LEARNING BASED ON SYMBOLIC REGRESSION FOR AUTOMATED SYNTHESIS OF UNIVERSAL MOTION STABILIZATION SYSTEMS
To achieve high accuracy and stability of the controlled plant's motion, it is proposed to synthesize a universal stabilization system capable of reliably following a wide range of trajectories, even in the presence of external influences and model uncertainties.
A. Diveev, Artem Barabash
· Reliability and Quality of C... · 0 citations