Olfa Hrizi

Papers

Total Citations

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About

Dr. Olfa Hrizi is a leading researcher in the field of control systems, with a specialized focus on fault diagnosis and fault-tolerant control for autonomous mobile robots. Her work centers on developing advanced algorithms that allow robotic systems to detect, estimate, and compensate for actuator faults in real time, ensuring continued safe operation. Dr. Hrizi’s key contribution is the creation of the Fast Adaptive Fault Estimation (FAFE) algorithm, which introduces a derivative action to standard adaptive observers, significantly improving the speed and accuracy of fault estimation. This foundational work, detailed in her most-cited paper (2013, 9 citations), is further developed in her subsequent studies on robust unknown input observers (2015, 5 citations) and reconfigurable linear quadratic control (2015, 3 citations). By integrating these techniques, she has pioneered a comprehensive framework for fault-tolerant control, enabling mobile robots to maintain stability and performance even under actuator failure. Her research, grounded in linear matrix inequalities (LMI) and observer theory, provides critical solutions for enhancing the reliability and autonomy of robotic systems in real-world applications.