Quoc Cuong Nguyen

Hanoi University of Industry

Papers

1

Total Citations

5

H-Index

1

About

Quoc Cuong Nguyen is a researcher specializing in control systems and robotics, with a particular focus on the stabilization and optimization of autonomous platforms. His most-cited work, "Optimized PID Controller for Two-Wheeled Self-balancing Robot Based on Genetic Algorithm" (2023), has garnered 5 citations, reflecting its relevance in the field of dynamic system control. Nguyen’s major contribution lies in applying genetic algorithms to fine-tune PID controllers, addressing the inherent instability of two-wheeled robots—a classic challenge in robotics. This approach not only enhances real-time balancing performance but also offers a scalable framework for optimizing other nonlinear systems. His work bridges theoretical control theory and practical engineering, making it valuable for students and researchers exploring adaptive control or mobile robotics. Nguyen’s research is particularly notable for its emphasis on computational optimization, demonstrating how evolutionary algorithms can replace manual tuning in complex electromechanical systems. As his citation count grows, his contributions are poised to influence further advancements in autonomous vehicle stability and intelligent control design.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Optimized PID Controller for Two-Wheeled Self-balancing Robot Based on Genetic Algorithm
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Hanoi University of Industry

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago