Abstract: This paper presents the design and implementation of an intelligent fuzzy control system for optimizing drug dosage in intensive care unit (ICU) patients. The controller continuously monitors key physiological parameters such as heart rate (HR), mean arterial pressure (MAP), and drug concentration to determine the optimal infusion rate. By integrating fuzzy logic with adaptive tuning mechanisms, the proposed system effectively manages nonlinearities, uncertainties, and interpatient variability inherent in physiological systems. Simulation results show that the intelligent fuzzy controller significantly reduces overshoot, settling time, and steady-state error compared to conventional PID and basic fuzzy controllers. The approach ensures smoother control actions, enhances patient safety, and maintains hemodynamic stability during critical care drug administration.

Keywords: Fuzzy logic control, ICU automation, drug infusion system, adaptive control, pharmacokinetic modeling, intelligent control, neuro-fuzzy system.

Downloads: | DOI: 10.17148/IARJSET.2025.12149