Yasuyuki Satoh
Tokyo Denki University, Tokyo University of Science, Kyoto University
Papers
7
Total Citations
37
H-Index
3
About
Yasuyuki Satoh is a leading researcher in nonlinear control theory, with a focus on trajectory tracking, obstacle avoidance, and model predictive control for complex robotic and nonlinear systems. His most influential work introduces a relaxed control barrier function (CBF) for obstacle avoidance in trajectory-tracking control, a method that simplifies design while ensuring safety—a contribution that has earned 16 citations and is widely applied in human assist control. Satoh has also advanced robust adaptive control, developing input-to-state stability tracking control Lyapunov functions (ISS-TCLF) to guarantee performance under input uncertainties and external disturbances. His innovative use of penalty function methods within nonlinear model predictive control (NMPC) enables real-time solutions for systems with state-dependent switches and state jumps, overcoming significant computational challenges. Additionally, Satoh has contributed to finite-time control for robot manipulators, including orientation control via quaternion-based feedback and P-PI controllers. With over 35 citations across his key papers, his work bridges theoretical rigor and practical implementation, making him a pivotal figure in the development of safe, robust, and agile autonomous systems.
Research Focus
Key Achievements
Top Papers
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