Papers

10

Total Citations

459

H-Index

7

About

Y. Tipsuwan is a control systems and robotics researcher whose work spans networked control systems, teleoperation, and autonomous marine vehicles. Best known for the landmark two-part series on "Gain Scheduler Middleware" (2004), which together have accumulated nearly 340 citations, Tipsuwan pioneered a transformative approach allowing existing controllers to operate over IP networks without requiring complete redesign. This middleware methodology addressed the critical challenge of network-induced delays degrading control performance — a problem of growing importance as networked robotics and teleoperation expanded in the early 2000s. Applications ranged from DC motor speed control to mobile robot navigation, with subsequent work incorporating model predictive and neural network-based approaches for path tracking over IP networks. More recently, Tipsuwan has turned attention to autonomous maritime systems, contributing a comprehensive survey on autonomous sailboat control strategies (2023, 39 citations), reflecting a broader interest in unmanned vehicles. Additional contributions include an autonomous underwater vehicle designed for petroleum pipeline inspection, demonstrating practical engineering impact. Across a career bridging theoretical control design and real-world robotics implementation, Tipsuwan's research has meaningfully shaped how engineers approach control in networked and resource-constrained environments.

Research Focus

Key Achievements

7
H-Index
10
Papers
459
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Gain Scheduler Middleware: A Methodology to Enable Existing Controllers for Networked Control and Teleoperation—Part II: Teleoperation
182 citations · 2004
📈 Most Prolific Year: 2004 (5 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Kasetsart University, North Carolina State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago