Quang-Thuyet Pham

Hanoi University of Science and Technology

Papers

Total Citations

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About

Dr. Quang-Thuyet Pham is a leading researcher in nonlinear control systems and soft robotics, with a particular focus on pneumatic artificial muscle (PAM) actuators for human-robot interaction and rehabilitation technologies. His most cited work, "Adaptive fuzzy sliding mode control of an actuator powered by two opposing pneumatic artificial muscles" (2023, 26 citations), addresses the fundamental challenge of controlling PAMs—highly nonlinear actuators plagued by uncertainty and significant delays. By developing a discrete-time sliding mode controller enhanced with adaptive fuzzy logic, Dr. Pham has introduced a robust framework that compensates for these complexities, enabling more precise and reliable actuation in rehabilitation systems. This contribution is pivotal for advancing assistive robotics, where safe and responsive human-robot interaction is critical. His research bridges theoretical control engineering with practical biomedical applications, demonstrating how adaptive algorithms can tame the inherent unpredictability of soft actuators. With a growing citation impact, Dr. Pham’s work is shaping the next generation of rehabilitation devices, offering new pathways for patients recovering motor function. His innovative approach to merging fuzzy logic with sliding mode control marks him as a rising authority in soft robotics and adaptive control systems.