Hamid Behroozi

Papers

Total Citations

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About

Hamid Behroozi is a researcher specializing in intelligent control systems, autonomous robotics, and computational intelligence, with a particular focus on the design and implementation of advanced controllers for mobile robotic platforms. His work centers on developing sophisticated control strategies for car-like robots, addressing one of the most pressing challenges in autonomous vehicle research: robust trajectory tracking in the presence of model uncertainties and real-world disturbances. Behroozi's most notable contributions include the development of adaptive fuzzy nonlinear sliding-mode controllers, which leverage fuzzy logic to enable online adaptation and effectively mitigate the impact of system disturbances — a breakthrough that enhances the reliability of autonomous navigation systems. Complementing this, his research on combining adaptive fuzzy sliding mode control with indirect radial-basis-function neural networks demonstrates a sophisticated integration of multiple intelligent techniques to achieve superior trajectory tracking performance. These contributions are directly motivated by the urgent societal need to reduce road accidents caused by human error through the advancement of driverless vehicle technology. With citations accumulating across his 2019 publications, Behroozi's research contributes meaningfully to the growing body of knowledge in intelligent autonomous systems, offering practical and theoretically grounded solutions for the next generation of self-driving vehicles.