Ke Lu

University of Chinese Academy of Sciences

Papers

Total Citations

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About

Ke Lu is an emerging researcher specializing in robust control systems and robotics, with a focus on developing advanced control methodologies for uncertain and complex dynamic systems. His most notable contribution lies in the design of composite nonlinear feedback control frameworks for robot manipulators, where he successfully integrated classical computed torque control with robust control techniques to address real-world uncertainties in robotic systems. This innovative hybrid approach demonstrates a sophisticated understanding of both theoretical control design and practical robotic applications, offering engineers more reliable solutions for manipulator control under uncertain operating conditions. Lu's 2020 work on robust composite nonlinear feedback control has garnered 12 citations, reflecting growing interest from the robotics and control engineering communities in his methodology. His research bridges the gap between traditional control theory and modern robust design principles, making contributions that are relevant to industrial automation, precision robotics, and resilient mechatronic systems. For students and researchers working in nonlinear control, robot dynamics, or uncertainty compensation, Lu's work represents a valuable reference point for understanding how composite control strategies can be systematically constructed to enhance system performance and stability in the presence of disturbances and parameter variations.