Nagi Farrukh

Papers

Total Citations

H-Index

About

Nagi Farrukh is a researcher specializing in robotics and intelligent control systems, with a particular focus on the nonlinear dynamics of flexible manipulators. Their most cited work, "Real-time on line tuning of fuzzy controller for two-link rigid–flexible robot manipulators" (2012), introduces an innovative online self-tuning multi-input–multi-output (MIMO) fuzzy bang-bang controller (FBBC) designed to manage the complex, highly nonlinear behavior of two-link rigid and flexible robot arms. This contribution is significant for advancing real-time adaptive control strategies that can handle the inherent instability and flexibility challenges in robotic systems. With 5 citations, this paper serves as a foundational reference for researchers working on intelligent control for flexible robotics. Farrukh’s work bridges fuzzy logic and real-time tuning, offering practical solutions for precision control in automation and manufacturing. Their research continues to inspire developments in adaptive control theory and its application to next-generation robotic systems, making them a notable contributor to the field of mechatronics and control engineering.