About
Jadranko Matuško is a Full Professor at the Department of Electric Machines, Drives and Automation, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on control systems, mechatronics, and predictive control, with applications in electric drives, robotics, and vehicle dynamics.
- Research Areas: Control systems, mechatronics, predictive control, electric drives, automation, robotics, nonlinear control, state estimation, embedded systems, and neural networks in control applications.
Scientific Contributions: His work spans projects like field-oriented control of brushless DC motors, global vision systems for UAVs, inverted pendulum laboratory designs, and model predictive control algorithms for grid-tied power converters. Notable applications include self-stabilizing urban vehicles via gyroscopic effects and tire/road friction estimation for automotive control systems.
Teaching & Projects: He has developed laboratory setups (e.g., ball and plate systems), human-machine interfaces, and control invariant frameworks. His publications emphasize dynamic reconfiguration, sensorless control, and Kalman filter-based state estimation.
Awards & Honors: No specific scientific awards mentioned in the provided texts.
Collaborations & Tools: Utilizes MATLAB, FPGA, Arduino/PcDuino, and Tensor Product Transformation for control design. Engaged in projects related to microgrid control, smart water metering, and cyber-physical production systems.
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