Hoai Vu Anh Truong
University of Ulsan, Pohang University of Science and Technology
Papers
4
Total Citations
93
H-Index
4
About
Hoai Vu Anh Truong is a control systems and robotics researcher whose work centers on advanced control strategies for robotic manipulators, with a particular focus on intelligent, robust, and adaptive control under uncertain and dynamic conditions. His most influential contribution, an adaptive nonsingular fast terminal sliding mode control framework integrating neural networks, has garnered 46 citations since 2021, establishing him as a notable voice in the field of intelligent robotic control. Truong has consistently tackled the fundamental challenge of maintaining stability and precision in manipulators operating in unstructured environments, developing neural network-based sliding mode controllers that effectively compensate for system uncertainties and external disturbances. His 2019 work on tracking performance under parameter variation, cited 24 times, further demonstrates his commitment to practical, real-world robustness. Beyond control design, his 2023 research on dynamic parameter identification using least squares methods addresses critical gaps in accurate system modeling for complex multi-input-multi-output systems. More recently, his finite-time output control work tackles time-varying constraints and modeling errors in n-DOF systems. Collectively, Truong's research provides foundational tools for engineers seeking reliable, high-performance robotic manipulation in demanding applications.
Research Focus
Key Achievements
Top Papers
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