Zahra Rahmani

Babol Noshirvani University of Technology

Papers

Total Citations

126

H-Index

About

Zahra Rahmani is a leading researcher in nonlinear control systems and robotics, with a particular focus on adaptive and intelligent control strategies for complex, real-world applications. Her work is distinguished by the development of advanced control frameworks that ensure precise, robust, and finite-time performance in the presence of uncertainties and disturbances. Her most cited paper, "On position/force tracking control problem of cooperative robot manipulators using adaptive fuzzy backstepping approach" (2017, 110 citations), demonstrates her ability to solve challenging multi-agent coordination problems, a critical need in modern manufacturing and collaborative robotics. In a complementary study, she introduced a "Terminal synergetic design" for nonlinear robot manipulators (2017, 12 citations), pioneering a controller that achieves fast, smooth, and disturbance-resistant tracking in finite time. Demonstrating the breadth of her expertise, Rahmani has also ventured into computational neuroscience, developing "Data-Driven Modelling of the Nonlinear Cortical Responses Generated by Continuous Mechanical Perturbations" (2020). This work applies her systems-theoretic perspective to model the human sensorimotor system, highlighting her commitment to translating control theory into biomedical insights. Her research is essential for advancing the reliability and autonomy of robotic systems and for deepening our understanding of neural control.