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About

Parisa Yazdjerdi is a control systems researcher whose work focuses on fault detection, isolation, and fault-tolerant control (FTC) for mobile robotic systems. Her research addresses a critical challenge in autonomous robotics: ensuring reliable operation when actuator faults occur, particularly in differential-drive mobile robots. Yazdjerdi's most influential contribution, published in 2018 and accumulating 15 citations, introduced a real-time actuator fault-tolerant control scheme using a multiple-model approach, leveraging a bank of Extended Kalman Filters (EKFs) to detect and accommodate faults dynamically. This work was preceded by a 2017 study on fault detection and isolation using the same multiple-model framework, demonstrating a strong and consistent research trajectory. Her complementary work on sliding mode control for fault tolerance elegantly reframes actuator loss-of-effectiveness faults as matched input disturbances, enabling robust compensation through classical control techniques. Extending her focus beyond single-robot systems, Yazdjerdi has also explored fault-tolerant strategies in multi-robot teams, addressing the added complexity of coordinated autonomous operation under fault conditions. Collectively, her publications have garnered over 40 citations, reflecting meaningful influence in robotics and control engineering communities and offering practical tools for building more resilient autonomous systems.