Haijun Chen
Papers
2
Total Citations
8
H-Index
2
About
Haijun Chen is a leading figure in the field of robotic control systems, with a research focus on intelligent trajectory tracking and robust motion control. His work is particularly concerned with overcoming the challenges of modeling errors and external disturbances that degrade the performance of complex robotic systems. A major contribution is his development of an adaptive radial basis function neural network sliding mode controller, optimized through an improved genetic algorithm, which significantly enhances the trajectory-tracking control of multi-joint robot manipulators. This work has been cited 4 times. In parallel, Chen has made foundational contributions to mobile robotics, addressing the tracking control problem for nonholonomic mobile robots in the presence of bounded disturbances. His proposed method, which modifies existing control laws to guarantee global stability and ensure tracking error convergence, remains a key reference in the field, also garnering 4 citations. Chen’s research bridges advanced computational intelligence and classical control theory, offering practical solutions for robust, high-performance robotic systems.
Research Focus
Key Achievements
Top Papers
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