Abolfazl Ranjbar N
Papers
1
Total Citations
1
H-Index
1
About
Abolfazl Ranjbar N is a researcher in robotics and control systems, with a focus on advanced nonlinear control strategies for robotic manipulators. His work centers on the design and optimization of robust controllers that can handle dynamic uncertainties and external disturbances, ensuring precise trajectory tracking in complex mechanical systems. His most cited paper, "Optimal Design of a RISE Feedback Controller for a 3-DOF Robot Manipulator Using Particle Swarm Optimization" (2014), introduces a novel application of the robust integral of the sign of the error (RISE) feedback control scheme. By integrating particle swarm optimization to tune controller parameters, Ranjbar N demonstrates how to enhance tracking performance while compensating for nonlinearities and model uncertainties. This work has garnered 1 citation, reflecting its niche but valuable contribution to the field. His research is particularly relevant for students and engineers working on robot manipulator control, offering a practical framework for combining optimization algorithms with robust control theory to achieve high-precision motion in uncertain environments.
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Top Papers
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