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About

Khalid Al-Olimat is a researcher specializing in adaptive control systems, fuzzy logic, and robotics. His work focuses on developing intelligent control algorithms that enable robotic manipulators to operate effectively under complex and changing environmental conditions. Al-Olimat’s major contributions include pioneering a fuzzy multiple reference model adaptive control scheme for flexible link robotic manipulators, which uses fuzzy logic to dynamically adjust reference models within a model reference adaptive control (MRAC) framework. This approach, detailed in his most-cited paper (19 citations), enhances position control accuracy and robustness. He further advanced the field by introducing a multiple model reference adaptive control algorithm with on-line fuzzy logic adjustment, and by developing adaptive control algorithms that employ fuzzy logic switching between multiple models. These innovations address the limitations of single-model controllers in unpredictable environments. His recent work (2025) extends into robust PCB design for mobile robots, integrating buck-boost converters to protect microcontrollers from vibration and electrical faults. With a career spanning from foundational control theory to practical hardware solutions, Al-Olimat’s research has laid important groundwork for intelligent, adaptive robotic systems.