Weitian He
Papers
2
Total Citations
3
H-Index
1
About
Weitian He is a rising researcher in the field of advanced nonlinear control and robotics, with a primary focus on intelligent control strategies for robotic manipulators. His work centers on developing robust, adaptive control systems that can handle the inherent uncertainties and disturbances in complex mechanical systems. He has made significant contributions by integrating neural network-based observers with sliding mode control techniques, creating hybrid approaches that enhance both stability and precision. His most cited paper, "Adaptive robust non-singular fast terminal sliding mode control for a two-link robotic manipulator with NN-based ESO" (2024), introduces a novel control scheme that uses a neural network to compensate for system uncertainties, achieving superior tracking performance. This work has already garnered 2 citations, demonstrating early impact. His subsequent research on "Deterministic Learning-Based Knowledge Fusion Neural Control for Robot Manipulators with Predefined Performance" (2025) further advances the field by enabling knowledge fusion for guaranteed performance. He’s innovative combination of neural networks and sliding mode control represents a promising direction for next-generation robotic systems, making him a researcher to watch in the control engineering community.
Research Focus
Key Achievements
Top Papers
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- 2