Abstract <p>This paper presents the development of a mathematical model for a stabilized landing platform based on the Stewart mechanism with six degrees of freedom, designed for automated landing of unmanned aerial systems on mobile platforms. An optimization algorithm for platform parameters was developed using the differential evolution method, resulting in increased working volume. A neural network-based control system utilizing lidar and photodiode matrix technology for spatial position monitoring was implemented, enabling reduced computational time and enhanced positioning accuracy for both linear displacements and angular deviations. The research findings are applicable to the development of automated landing systems for unmanned aerial systems on maritime vessels, ground vehicles, and railway transport. </p>