Zishu Jin
Papers
1
Total Citations
47
H-Index
1
About
Zishu Jin is a leading researcher in intelligent control systems and robotics, with a primary focus on adaptive trajectory tracking and model-free control algorithms. Their most notable contribution is the development of a model-free fuzzy adaptive trajectory tracking control algorithm based on dynamic surface control, published in 2020 and cited 47 times. This work addresses the challenge of precise robot manipulation by eliminating the need for exact dynamic models, instead leveraging fuzzy logic to adapt to system uncertainties. Jin’s algorithm was rigorously validated through simulations on a selective compliance assembly robot arm (SCARA)-type manipulator, demonstrating superior performance over traditional dynamic surface control methods. This innovation has significant implications for industrial automation, enabling more robust and efficient robotic operations in unstructured environments. Jin’s research bridges the gap between theoretical control design and practical implementation, offering a scalable solution for high-performance trajectory tracking. Their work continues to inspire advancements in adaptive control, with potential applications in autonomous systems, manufacturing, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1