Papers
2
Total Citations
155
H-Index
2
About
Chenghu Jing is a leading researcher in advanced control systems, with a primary focus on robotic manipulators, sliding mode control, and disturbance rejection. His work addresses critical challenges in robotics, particularly in achieving high-precision motion under uncertainties and physical constraints. Jing’s most influential contribution is his 2019 paper on adaptive sliding mode disturbance rejection control with prescribed performance for robotic manipulators, which has garnered 142 citations—a testament to its impact on the field. This work introduced a novel framework that ensures both transient and steady-state performance, even in the presence of unknown disturbances. More recently, in 2024, Jing advanced the state of the art with a study on adaptive super-twisting sliding mode control for robotic manipulators with input saturation. This paper proposes a modified sliding mode surface that avoids singular perturbation while accelerating convergence, offering a robust solution for real-world robotic systems where actuator limits are a concern. Through his innovative methodologies, Jing has significantly enhanced the reliability and efficiency of robotic control, making his research essential for engineers and scholars working on autonomous systems and mechatronics.
Research Focus
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Top Papers
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