معرفی
Lingchong Gao is a researcher at the Chair of Material Handling, Material Flow, Logistics (fml) at Technical University of Munich, specializing in dynamics and control of hydraulic crane systems. His work integrates port-Hamiltonian formulations with optimal control strategies to address flexible boom manipulator challenges in material handling.
His research focuses on control engineering for heavy machinery, particularly anti-sway control of double-pendulum cranes, trajectory optimization for knuckle boom systems, and wear analysis in bulk transport equipment. Key methodologies include neural network controllers based on Lyapunov stability, geometrically exact beam theory for flexible structures, and symplectic approaches for nonlinear optimal control problems.
Analysis of his 15 most recent publications (2019-2025) reveals a concentrated research trajectory: early work established foundations in port-Hamiltonian modeling of telescopic booms (2019), evolving through flexible dynamics simulation (2020-2021) to advanced quasi-static control strategies (2023) and differential dynamic programming for trajectory planning (2025). Over 80% of his publications directly address crane system dynamics, with emerging emphasis on computational efficiency in hydraulic actuation.
Dr. Gao actively supervises student theses, seeking candidates with expertise in Mechanics, Hydraulic Systems, and Optimal Control Theory for bachelor/master projects. He leads the project Dynamic Structure-preserving Analysis and Control of Flexible Long Boom Manipulator Based on Port-Hamiltonian System, securing research continuity in this niche.
As core personnel in Prof. Johannes Fottner's research group, he contributes to TUM's logistics innovation ecosystem including 5G applications in material flow. The fml chair maintains strong industry partnerships for translating theoretical advances into port logistics and construction equipment solutions.
