Papers
31
Total Citations
288
H-Index
9
About
Masoud Abbaszadeh is a prolific researcher specializing in nonlinear optimal control, robotics, and dynamical systems, with significant contributions to the control of complex mechanical and electromechanical systems. His work addresses some of the most challenging problems in modern control engineering, including underactuated systems, flexible-joint manipulators, and spatio-temporal dynamics across applications ranging from autonomous vehicles to smart grids. Abbaszadeh is perhaps best known for developing and applying nonlinear H-infinity optimal control frameworks to a diverse array of robotic platforms, including wheeled inverted pendulums (41 citations), multi-DOF robotic manipulators (30 citations), electro-hydraulic systems, lower-limb exoskeletons, and tower cranes. His 2022 edited volume on control and estimation of nonlinear and partial differential equation systems (50 citations) stands as a comprehensive reference bridging theory and real-world applications in robotics, mechatronics, and industrial systems. Across his portfolio, Abbaszadeh consistently tackles underactuation and strong nonlinearities — notoriously difficult control challenges — offering systematic, mathematically rigorous solutions. With cumulative citations exceeding 200 and a body of work spanning over a decade, his research has meaningfully advanced the field of nonlinear control, making him a valuable reference for students and practitioners working at the intersection of control theory and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Nonlinear Optimal Control for the Wheeled Inverted Pendulum System41 citations · 2019
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- 6Nonlinear optimal control for a spherical rolling robot12 citations · 2018
- 7Nonlinear optimal control for the 4-DOF underactuated robotic tower crane10 citations · 2022
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- 10Nonlinear optimal control for a five-link parallel robotic manipulator8 citations · 2022