Papers
1
Total Citations
7
H-Index
1
About
Jidong Qian is a leading researcher in the field of robotics and intelligent control systems, with a primary focus on advanced trajectory tracking and adaptive control for robot manipulators. His most influential work introduces a novel adaptive sliding mode neural network-based composite control strategy, which significantly enhances the precision and robustness of robotic motion. By integrating radial basis function (RBF) neural networks with a fast terminal sliding mode approach, Qian’s method effectively estimates and compensates for unknown dynamic terms in manipulator systems, overcoming traditional limitations in nonlinear control. This groundbreaking contribution, published in 2020 and cited 7 times, demonstrates his ability to merge theoretical rigor with practical application, offering a powerful solution for high-performance robotic tasks. Qian’s research is pivotal for students and engineers seeking to understand cutting-edge adaptive control techniques, as it provides a framework for achieving superior tracking accuracy in complex, uncertain environments. His work continues to inspire advancements in intelligent automation and mechatronics.
Research Focus
Key Achievements
Top Papers
- 1