Pingfan Liu
Papers
2
Total Citations
16
H-Index
2
About
Pingfan Liu is a rising researcher in nonlinear control theory and robotics, with a focus on intelligent fault-tolerant systems for underactuated mobile robots. His work addresses critical challenges in autonomous navigation and safety, particularly for systems with unknown dynamics and actuator faults. Liu’s most cited paper (2024, 10 citations) develops a finite-time fuzzy adaptive output-feedback fault-tolerant control for underactuated wheeled mobile robots (UWMRs), handling intermittent actuator faults and immeasurable states—a breakthrough for real-world deployment. His second major work (2024, 6 citations) extends this framework with prescribed performance guarantees, ensuring robots maintain safety and precision even under faults. Together, these contributions advance the integration of fuzzy logic and adaptive control for nonlinear systems, offering robust solutions for autonomous vehicles, service robots, and industrial automation. Liu’s research is notable for its theoretical rigor and practical relevance, bridging the gap between control theory and real-time robotic resilience. With growing citation impact, he is establishing himself as a key voice in intelligent fault-tolerant robotics.
Research Focus
Key Achievements
Top Papers
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