Bdereddin Abdul Samad
Papers
6
Total Citations
38
H-Index
4
About
Bdereddin Abdul Samad is an emerging researcher specializing in advanced control systems and robotics, with a particular focus on the stabilization of complex, multi-link robotic systems. His work centers on the Robogymnast — a highly sophisticated triple-inverted pendulum system that mimics a human gymnast executing acrobatic maneuvers on a high bar — making it one of the most challenging platforms in modern control engineering research. Abdul Samad's major contributions lie in designing, simulating, and comparing a range of control strategies for this nonlinear system, including Linear Quadratic Regulators (LQR), Proportional-Integral-Derivative (PID) controllers, Fuzzy Logic Controllers, and innovative hybrid approaches such as Fuzzy-LQR and Fuzzy-PD configurations. His most cited work, "Simulating LQR and PID Controllers to Stabilise a Three-Link Robotic System" (2022), has garnered 13 citations, reflecting growing scholarly interest in his methodology. Across his publication portfolio, his papers have collectively accumulated over 38 citations, demonstrating meaningful impact within the control systems and robotics community. Notably, his more recent investigations explore algorithmic optimization of fuzzy controllers, pushing the boundaries of intelligent control design for highly dynamic robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Simulating LQR and PID controllers to stabilise a three-link robotic system13 citations · 2022
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