Nguyen Hoang

Hanoi University of Science and Technology, University of Da Nang, Hanoi University

Papers

Total Citations

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About

Nguyen Hoang is a robotics researcher specializing in the modeling and control of parallel robotic manipulators, with a particular focus on advanced sliding mode control techniques. His work addresses critical challenges in parallel robot dynamics, including chattering reduction in sliding mode controllers and the development of accurate dynamic models that account for electric actuators, flexible links, and elastic joints. Hoang’s most cited paper, “A comparison study of some control methods for delta spatial parallel robot” (2015, 5 citations), systematically evaluates computed torque, sliding mode, and neural network-based sliding mode controllers, demonstrating that PD control is only accurate with precise model parameters. His subsequent work in “SLIDING MODE CONTROL FOR PARALLEL ROBOTS DRIVEN BY ELECTRIC MOTORS IN TASK SPACE” (2018, 5 citations) introduces a substructure method combined with Lagrangian equations to model actuator dynamics. More recently, Hoang has explored chattering reduction techniques (2020) and flexible link modeling (2022), contributing to more robust and realistic parallel robot control systems. His research is particularly valuable for applications requiring high-precision manipulation, such as manufacturing and surgical robotics.