Parisa Tavakoli
Papers
1
Total Citations
4
H-Index
1
About
Parisa Tavakoli is a control systems researcher whose work focuses on the robust stabilization and constrained control of underactuated, unstable robotic platforms. Her primary research areas include model predictive control (MPC), robust control theory, and the dynamics of two-wheeled inverted pendulum (TWIP) systems. Tavakoli’s most notable contribution is her pioneering application of Linear Matrix Inequality (LMI)-based robust constrained MPC to the TWIP robot—a notoriously challenging system due to its inherent instability, underactuation, and susceptibility to physical and environmental constraints. By addressing model uncertainties directly within the control framework, her 2015 paper provided a rigorous, computationally tractable method for ensuring posture stability under real-world limitations. This work has garnered 4 citations, serving as a foundational reference for researchers tackling similar nonlinear, constrained control problems. Tavakoli’s approach bridges the gap between theoretical robust control and practical implementation, offering a systematic methodology that accounts for both parametric uncertainties and actuator/sensor constraints. Her contributions are particularly valuable for students and engineers working on autonomous mobile robots, balancing systems, and any application requiring safe, reliable control of unstable dynamics under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1