Tae Ho Jang

Papers

1

Total Citations

3

H-Index

1

About

Dr. Tae Ho Jang is a robotics and control systems researcher whose work focuses on the modeling and control of mobile robot driving systems. His most cited paper, "Comparison of PID Controllers by Using Linear and Nonlinear Models for Control of Mobile Robot Driving System" (2016), addresses a fundamental challenge in mobile robotics: the nonlinear dynamics inherent in DC motor driving systems, including dead zones, friction, and saturation. By systematically comparing linear and nonlinear models, Dr. Jang provides critical insights into how PID controllers perform under realistic, non-ideal conditions—a contribution that helps bridge the gap between theoretical control design and practical implementation. While his citation count is modest, his work is foundational for engineers developing robust control strategies for wheeled robots. Dr. Jang’s research is particularly valuable for students and practitioners seeking to understand the trade-offs between model simplicity and accuracy in mechatronic systems. His focus on real-world nonlinearities underscores a practical, application-driven approach to robotics, making his findings directly relevant to autonomous vehicle and mobile robot development.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of PID Controllers by Using Linear and Nonlinear Models for Control of Mobile Robot Driving System
3 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago