Mahvash Noorbakhsh
Papers
1
Total Citations
6
H-Index
1
About
Mahvash Noorbakhsh is a control systems researcher whose work focuses on the intersection of nonlinear dynamics, robotics, and adaptive control theory. Her most-cited paper, "Adaptive friction compensation in a Two-Link Planar Robot Manipulator using a new Lyapunov-based controller" (2010), introduces a novel approach for estimating and compensating for unknown Coulomb friction in mechanical systems. By developing a Lyapunov-based nonlinear estimator that accounts for time-varying but bounded friction coefficients, Noorbakhsh provides a mathematically rigorous framework for improving the precision and stability of robotic manipulators. This contribution is particularly significant for applications requiring high-accuracy motion control, such as industrial automation and surgical robotics. While her citation count (6) reflects a focused, specialized impact, her work demonstrates a deep engagement with fundamental challenges in adaptive control—specifically, the real-time mitigation of unmodeled friction without requiring prior knowledge of system parameters. Her research offers valuable tools for engineers and theorists working on robust controller design for complex mechanical systems, bridging theoretical Lyapunov stability analysis with practical robotic implementation.
Research Focus
Key Achievements
Top Papers
- 1