SUAD Institutional Repository
by SUAD Library

Your reference for the Sorbonne University Abu Dhabi research output and research impact

 
Research outputs
690
Disciplines
9
Researchers
96
Recent Additions
  • Researcher
    Elkhoudaimi, Nour El-Houda
    Master Student
  • Publication
    Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller
    (2024)
    Abualigah, Laith
    ;
    Izci, Davut
    ;
    Ekinci, Serdar
    ;
    Abu Zitar, Raed 
    The precise control of aircraft pitch angles is critical in aviation for maintaining specific attitudes during flight, including straight and level flight, ascents, and descents. Traditional control strategies face challenges due to the non-linear and uncertain dynamics of flight. To address these issues, this study introduces a novel approach employing the artificial rabbits optimizer (ARO) for tuning a PID controller with a filtering mechanism (PID-F) in aircraft pitch control systems. This combination aims to enhance the stability and performance of the aircraft pitch control system by effectively mitigating the kick effect through the incorporation of a filter coefficient in the derivative gain. The study employs a time-domain-based objective function to guide the optimization process. Simulation results validate the stability and consistency of the proposed ARO/PID-F approach. Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. Specifically, the ARO/PID-F controller exhibits a rapid response, zero overshoot, minimal settling time, and precise control during critical phases. The obtained results position the proposed methodology as a promising and innovative solution for optimizing aircraft pitch control systems, offering improved performance and reliability.
      5
  • Publication
    The Economic Impact of Artificial Intelligence on Optimizing Drug Utilization and Reducing Waste in Outpatient Pharmacy Settings: A Meta-Analysis
    (2023)
    Aljabri, Sara Jaber
    Artificial Intelligence (AI) technologies have shown potential in various sectors, including healthcare, where they have been used to optimize drug utilization and reduce waste in outpatient pharmacy settings. This meta-analysis aims to quantitatively evaluate the economic impact of AI on these specific areas of healthcare. Following a rigorous selection process, 35 studies involving diverse AI applications were included. The findings demonstrate a significant economic benefit associated with AI implementation, achieved through enhanced pharmaceutical efficiency and waste reduction. Despite some heterogeneity and potential publication bias, this analysis emphasizes the potential of AI applications to contribute to cost-effectiveness and sustainability in healthcare. However, continuous research and stringent standardization are recommended to ensure the optimal integration and assessment of AI technologies in various healthcare settings.
      2  8
  • Publication
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