Papers

3

Total Citations

206

H-Index

2

About

Dr. Pu Yang is a leading researcher in advanced robotics control, with a primary focus on the trajectory tracking and fault-tolerant control of robot manipulators. His work masterfully addresses the critical challenges of uncertain dynamics, external disturbances, and system faults. Dr. Yang’s major contributions lie in the development of novel prescribed performance control (PPC) strategies, which guarantee that a robot’s tracking error converges to a pre-defined, arbitrarily small residual set within a fixed, user-specified time. His seminal 2021 paper, "Proximate Fixed-Time Prescribed Performance Tracking Control of Uncertain Robot Manipulators," has garnered 127 citations, establishing a foundational framework for high-precision, time-critical robotic tasks. He further extended this work to enhance system reliability with his 2023 study on fault-tolerant control (78 citations), and most recently, he has pioneered the integration of PPC with time delay control in his 2025 publication. Dr. Yang’s research is instrumental in enabling safer, more precise, and more dependable robotic systems for applications ranging from industrial automation to surgical assistance.

Research Focus

Key Achievements

2
H-Index
3
Papers
206
Total Citations
69
Avg Citations/Paper
🏆 Most Cited Paper
Proximate Fixed-Time Prescribed Performance Tracking Control of Uncertain Robot Manipulators
127 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Xidian University, Zhejiang Sci-Tech University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago