Maryam Malekzadeh
Papers
1
Total Citations
2
H-Index
1
About
Maryam Malekzadeh is a researcher specializing in advanced control systems, with a particular focus on nonlinear control strategies for robotic applications. Her work centers on the intersection of sliding mode control, active disturbance rejection control (ADRC), and parallel robotics. In her most cited paper, "Implementation of Active Disturbance Rejection Control based on Super-Twisting Algorithm on Delta Robot," Malekzadeh proposes a novel control structure that integrates a super-twisting sliding mode controller, an extended state estimator, and an optimal tracking differentiator. This innovative approach enhances the robustness and precision of Delta parallel robots, which are widely used in high-speed automation tasks. While her citation count is still growing—reflecting the emerging nature of her contributions—her work demonstrates significant potential for improving disturbance rejection and trajectory tracking in complex robotic systems. Malekzadeh’s research is particularly valuable for students and engineers interested in practical, real-world implementations of advanced control theory, bridging the gap between theoretical algorithms and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1