Ljubisa Bucanovic
Papers
2
Total Citations
8
H-Index
2
About
Ljubiša Bućanović is a control systems researcher whose work focuses on advancing iterative learning control (ILC) for robotic and mechatronic systems. His primary research areas include intelligent control, fractional-order systems, and trajectory tracking for robotic manipulators. In his most-cited work, Bućanović proposed a novel open-closed-loop PIDD²/PID-type ILC framework for robot arm control, integrating a computed torque controller to linearize nonlinear robot dynamics and improve joint-space trajectory tracking. This contribution addresses the challenge of precise motion control in time-varying robotic systems. He has also explored fractional-order ILC for singular fractional-order systems, extending classical control theory to more complex dynamics. While his citation counts are modest—5 and 3 for his top papers—his work represents a meaningful step in bridging iterative learning control with fractional calculus and advanced PID structures. Bućanović’s research is particularly relevant for students and engineers interested in the intersection of intelligent control, robotics, and nonlinear system design, offering practical insights into improving the performance and robustness of automated systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2