Youming Wang

Xi’an University of Posts and Telecommunications

Papers

Total Citations

269

H-Index

About

Youming Wang is a prominent researcher specializing in advanced control systems, with a particular focus on robust control strategies for robot manipulators. His work centers on fixed-time sliding mode control, fault-tolerant tracking, and adaptive control techniques—areas critical to ensuring reliable and precise robotic performance under real-world uncertainties. Wang's most influential contribution, "Adaptive Fixed-Time Fault-Tolerant Tracking Control and Its Application for Robot Manipulators" (2021), has garnered 129 citations, demonstrating significant community recognition. This work introduces an innovative adaptive fault-tolerant framework that effectively neutralizes the impact of actuator effectiveness faults and system uncertainties on trajectory tracking performance. His 2019 paper on fixed-time sliding mode control, with 111 citations, established a singularity-free approach enabling global fixed-time trajectory tracking despite uncertain dynamics and external disturbances—a foundational contribution to the field. His 2020 study further extended these principles by developing robust fault-tolerant mechanisms that comprehensively address actuator faults alongside dynamic uncertainties. Collectively, Wang's research has meaningfully advanced the theoretical and practical frontiers of robust robotic control, providing engineers and researchers with reliable methods for designing resilient, high-performance control systems in challenging environments. His growing citation record underscores his rising influence in intelligent control and robotics communities.