Shigehiko Furuya
Papers
1
Total Citations
12
H-Index
1
About
Shigehiko Furuya is a control systems researcher whose work bridges theoretical rigor with practical robotic applications. His key research areas include internal model control (IMC), linear quadratic regulator (LQR) theory, and trajectory tracking control for robotic manipulators. Furuya’s most notable contribution, detailed in his highly cited 2003 paper, introduces a novel control method that harnesses the limiting properties of LQR within the IMC framework. This approach achieves robust and optimal trajectory tracking, a critical challenge in robotics. He validated his theory through experimental implementation on a two-link robot manipulator, demonstrating real-world effectiveness. With 12 citations, this work has influenced subsequent developments in motion control and robotic automation. Furuya’s research exemplifies how classical control theory can be refined for modern mechatronic systems, offering students and engineers a powerful tool for designing high-performance tracking controllers. His contributions remain relevant for anyone exploring the intersection of optimal control and practical robotics.
Research Focus
Key Achievements
Top Papers
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