Zhiguo Tang
Papers
1
Total Citations
11
H-Index
1
About
Dr. Zhiguo Tang is a leading researcher in advanced robotics and intelligent control systems, with a primary focus on the modeling and control of complex, flexible robotic manipulators. His work masterfully bridges the gap between theoretical control algorithms and practical mechatronic systems, particularly those driven by hydraulics. A cornerstone of his contribution is the development of adaptive dynamic programming (ADP)-based cross-scale control strategies, as exemplified in his highly cited 2023 paper. This work tackles the formidable challenge of controlling hydraulic-driven flexible robotic manipulators under varying payloads and system uncertainties by integrating singular perturbation theory with ADP, achieving robust, real-time performance. With over 11 citations on this key paper alone, his research is gaining significant traction for its innovative approach to solving multi-timescale dynamics. Dr. Tang’s achievements are notable for their direct application to industrial automation and field robotics, where precision and adaptability are paramount. His work continues to shape the future of intelligent, flexible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1