Particle Swarm Optimization based H∞ infinity Loop Shaping Robust Control for Anesthesia Systems

This paper develops a robust controller based on H _∞ loop-shaping (HLS) methodology for the depth of anesthesia (DoA). Due to the possibility of various responses of the patient to drug administration, the DoA system is marked by large uncertainty. Based on the quantitative measuring of the Bispectral Index (BIS), the level of anaesthetic depth can be measured. The proposed control algorithm can achieve robust stability and performance, delivering the requirement guarantees for the safety of the patient. For further enhancement of the HLS, Particle Swarm Optimization (PSO) has been employed to find the best weighting functions. The simulation results show the proposed robust framework controller has superiority in terms of simplicity in the structure and robustness in the tracking performance.