Faridoon Shabani
Papers
1
Total Citations
4
H-Index
1
About
Faridoon Shabani’s research centers on advanced control systems, robotics, and mechatronics, with a particular focus on the modeling and control of flexible structures and cooperating robotic manipulators. His most cited work, “Two-Time Scale Fuzzy Logic Controller and Observer Design for Trajectory Tracking of Two Cooperating Robot Manipulators Handling a Flexible Beam” (2007, 4 citations), introduces a novel singular perturbation approach that eliminates the need for direct vibration measurement of the beam. By integrating fuzzy logic control with observer design, Shabani enables precise trajectory tracking while effectively suppressing structural vibrations—a critical challenge in industrial automation and collaborative robotics. This contribution bridges theoretical control theory and practical implementation, offering a computationally efficient solution for complex, multi-robot systems. Shabani’s work has influenced subsequent research in flexible manipulator control and intelligent systems, demonstrating how fuzzy logic can simplify real-time control without sacrificing performance. His achievements underscore a commitment to solving real-world engineering problems through innovative, model-based control strategies, making his research valuable for students and engineers working in robotics, automation, and smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1