Shekoufeh Neisarian
Papers
2
Total Citations
14
H-Index
2
About
Shekoufeh Neisarian is a control systems researcher whose work focuses on advanced nonlinear control strategies for complex robotic and mechanical systems. Her primary research areas include sliding mode control, finite-time stability, adaptive control, and observer-based techniques for uncertain nonlinear systems. Neisarian’s most impactful contribution is her 2023 paper on “Fast finite-time observer-based sliding mode controller design for a class of uncertain nonlinear systems with input saturation,” which has garnered 11 citations and addresses the critical challenge of maintaining robust performance under input constraints. In her 2022 work on practical finite-time adaptive sliding mode control for a 5-link biped robot, she developed novel adaptive approaches that handle unknown physical parameters, disturbances, and input saturation—advancing the field of bipedal locomotion control. Her research demonstrates how combining observer-based estimation with sliding mode techniques can achieve fast, finite-time convergence while maintaining robustness against uncertainties. Neisarian’s work is particularly relevant for applications in rehabilitation robotics, prosthetics, and autonomous walking machines, where precise and reliable control under real-world uncertainties is essential.
Research Focus
Key Achievements
Top Papers
- 1
- 2