Seyedeh Sepideh Madani
Papers
1
Total Citations
26
H-Index
1
About
Seyedeh Sepideh Madani is a rising researcher in the field of advanced robotics and intelligent control systems, with a particular focus on exoskeleton robots and adaptive learning algorithms. Her most cited work, "Model-free adaptive iterative learning integral terminal sliding mode control of exoskeleton robots" (2021, 26 citations), introduces a novel approach to reference tracking for multi-degree-of-freedom exoskeletons under external disturbances. By leveraging iteration-dependent full-format dynamic linearization, Madani reformulates complex robot dynamics into a linear data model, enabling robust, model-free control without requiring precise system parameters. This contribution is significant for developing more adaptive, resilient exoskeletons for rehabilitation and assistive technologies. Her research integrates sliding mode control, iterative learning, and data-driven methods, offering practical solutions for real-world robotic systems. With a growing citation record and a focus on bridging theoretical control theory with applied robotics, Madani is establishing herself as an innovator in model-free adaptive control, making her work highly relevant for students and researchers interested in intelligent robotics, nonlinear systems, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1