Shurong Peng
Papers
1
Total Citations
3
H-Index
1
About
Dr. Shurong Peng is a rising researcher in intelligent control systems, with a primary focus on advanced robotics and disturbance rejection techniques. Their most influential work introduces a neural network-based active disturbance rejection control (ADRC) method, specifically employing a radial basis function (RBF) neural network to enhance the attitude control of multi-joint robotic arms. This innovative approach addresses critical challenges in precision and stability, offering a robust solution for complex robotic manipulation in uncertain environments. With their 2023 paper already garnering 3 citations, Dr. Peng's contributions are gaining recognition for bridging neural network adaptability with classical control theory. Their research holds significant promise for applications in industrial automation, surgical robotics, and autonomous systems where precise, disturbance-resistant motion is essential. By integrating learning-based methods with traditional control frameworks, Dr. Peng is helping to shape the next generation of intelligent, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1