Papers
1
Total Citations
7
H-Index
1
About
Dr. Qian Qian is a distinguished researcher in advanced robotic control systems, with a primary focus on trajectory tracking, sliding mode control, and event-triggered mechanisms for multi-joint robotic manipulators. Their most impactful contribution, the 2019 paper "Event Triggered Feedback Linearization Sliding Mode Control for Trajectory Tracking by Multi-joint Robotic Manipulator," introduces an innovative control scheme that integrates feedback linearization with sliding mode control to enhance system robustness against unknown disturbances. This work addresses critical challenges in resource efficiency and reliability for robotic systems, achieving 7 citations and establishing a foundation for energy-aware, high-precision control strategies. Dr. Qian’s research is particularly notable for bridging theoretical control design with practical implementation, offering solutions that reduce computational load while maintaining trajectory accuracy—a vital advancement for autonomous robotics in manufacturing and service applications. Their work continues to influence the development of resilient, adaptive control architectures in nonlinear robotic systems.
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Top Papers
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