Zuoshi Song

Chinese Academy of Sciences, Shandong Institute of Automation

Papers

Total Citations

170

H-Index

About

Zuoshi Song has made significant contributions to the control of complex robotic and nonholonomic systems, with a particular focus on robust and adaptive control strategies. His most influential work, "A computed torque controller for uncertain robotic manipulator systems: Fuzzy approach" (2005), has garnered 164 citations, demonstrating its lasting impact on the field. In this paper, Song pioneered the integration of fuzzy logic with computed torque control to handle parametric uncertainties in robotic manipulators, offering a practical solution for improving trajectory tracking performance under model imperfections. Beyond manipulator control, Song has advanced the regulation of nonholonomic chained systems—a class of underactuated systems that includes wheeled mobile robots and tractor-trailer vehicles. His work on smooth time-varying regulation (2005) provides Lyapunov-based control laws that guarantee both asymptotic and exponential stabilization, addressing a fundamental challenge in nonholonomic control theory. By bridging theoretical rigor with application-oriented design, Song’s research offers valuable tools for engineers working on autonomous vehicles, mobile robotics, and precision motion control, establishing him as a thoughtful contributor to modern nonlinear control systems.