Papers
2
Total Citations
9
H-Index
2
About
Jiang Du is a researcher specializing in robotics and intelligent control systems, with a particular focus on articulated robot manipulation and adaptive control algorithms. Their major contributions lie in addressing the persistent challenge of chattering in conventional sliding mode control—a phenomenon that compromises precision and stability in robotic systems. Du proposed an innovative adaptive fuzzy sliding mode control algorithm, which integrates fuzzy logic to dynamically adjust control parameters, effectively mitigating chattering while maintaining robust performance. This work, detailed in their most-cited paper on 2-DOF articulated robots (2017, 7 citations), demonstrates a practical approach to enhancing control smoothness and adaptability. By designing an adaptive single-input, single-output fuzzy system, Du’s algorithm offers a computationally efficient solution for real-time robotic applications. Though their citation counts are modest, the research represents a meaningful step toward more reliable and responsive robotic control, with potential implications for industrial automation and advanced manufacturing. Du’s work continues to inform ongoing efforts to refine adaptive control strategies for complex, nonlinear robotic systems.
Research Focus
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Top Papers
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