Advancing Anesthesia Education: Training on Modeling and Control for Enhanced Patient Care

Abstract

This paper introduces a training program focused on anesthesia modeling and control. The curriculum centers on the utilization of an open-source patient simulator and covers open-loop analysis, relative gain array analysis, and modeling for control purposes, preparing students for closed-loop anesthesia management. A decentralized approach to controller tuning is adopted, with emphasis on both standard PID and generalized fractional order PID controllers. Through practical exercises and simulations, students acquire essential skills to understand anesthesia modeling and control challenges effectively, contributing to improved patient outcomes in clinical practice.