Yongchao Wang

Yongchao Wang is a Professor in the Department of Automatic Control Engineering at Technische Universität München (TUM). He has an extensive academic background, including a Ph.D. from TUM (2019-2022) and Xidian University (2016-2018), an M.Sc. (2013-2016), and a B.Sc. (2009-2013), all in Control Science and Engineering.

• B.Sc., Control Science and Engineering, Xidian University (2013)
• M.Sc., Control Science and Engineering, Xidian University (2016)
• Ph.D., Control Science and Engineering, Technische Universität München (2022) & Xidian University (2018)

His research focuses on Backstepping Control, Optimal Control, and Robotics, particularly in developing robust control strategies for high-dimensional robotic systems. Recent work includes advancements in Reinforcement Learning, Model Predictive Control (MPC), and Adaptive Control for robotic tracking and stability.

Key publication trends include:

• Application of Reinforcement Learning to robotic control optimization
• Development of robust and singularity-free MPC techniques
• Innovations in adaptive and sliding mode control for uncertain systems
• Time-delay estimation and concurrent learning approaches for stability

Currently, no scientific awards or explicit student advising records are documented in available sources.