Jianan Tang

Hunan University of Science and Technology

Papers

4

Total Citations

73

H-Index

4

About

Jianian Tang is a robotics and control systems researcher whose work centers on advanced motion control strategies for robotic manipulators, with particular emphasis on trajectory tracking and contour following. His research is distinguished by innovative combinations of classical and modern control methodologies, most notably his development of nonlinear PD (NPD) control frameworks integrated with sliding mode control (SMC) techniques. Tang's most influential contribution, "Position Domain Nonlinear PD Control for Contour Tracking of Robotic Manipulators" (2017, 43 citations), introduced a novel position-domain control paradigm that reframes robotic motion as a master-slave relationship, enabling superior contour tracking precision. Building on this foundation, his 2016 work on Adaptive PD plus Sliding Mode Control (APD-SMC) demonstrated how hybrid control architectures can simultaneously achieve normalized trajectory convergence and robust disturbance rejection, accumulating 15 citations. His complementary studies on NPD-SMC for 3-DOF planar manipulators further refined these approaches by eliminating conventional linear feedback limitations. Collectively, Tang's publications reflect a coherent research vision: enhancing the robustness, adaptability, and precision of robotic control systems through theoretically grounded yet practically implementable algorithms, making his work valuable reading for researchers in industrial automation and advanced robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
73
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Position domain nonlinear PD control for contour tracking of robotic manipulator
43 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Hunan University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago