Papers
6
Total Citations
295
H-Index
4
About
Reza Ghaderi is a leading researcher in the intersection of advanced control theory, robotics, and intelligent systems. His primary contributions lie in developing robust, adaptive, and fractional-order control strategies for nonlinear and robotic systems. Ghaderi’s most influential work, "Fuzzy fractional order sliding mode controller for nonlinear systems" (2009), has garnered 232 citations, establishing a foundational method for enhancing system stability and performance under uncertainty. He extended this line of inquiry with an "Adaptive Fractional PID Controller for Robot Manipulator" (2012), where he optimized PID parameters using a genetic algorithm to achieve robust tracking, a key contribution to precision robotics. His work also spans intelligent navigation, as seen in "A fuzzy Q-learning approach to navigation of an autonomous robot" (2012), and advanced exoskeleton control with "Combined Neural Network Feedforward and RISE Feedback Control Structure for a 5 DOF Upper-limb Exoskeleton Robot" (2015). More recently, Ghaderi has ventured into computer vision with "A Practical Approach to Tracking Estimation Using Object Trajectory Linearization" (2024). Through these diverse yet interconnected contributions, Ghaderi has significantly advanced the practical application of fractional calculus and fuzzy logic in real-world robotic and control systems.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy fractional order sliding mode controller for nonlinear systems232 citations · 2009
- 2Adaptive Fractional PID Controller for Robot Manipulator46 citations · 2012
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- 5A fuzzy Q-learning approach to navigation of an autonomous robot4 citations · 2012
- 6