학술논문

Switching between sensor configurations for uncertain systems; application to control of anesthesia
Document Type
Conference
Source
2019 IEEE 58th Conference on Decision and Control (CDC) Decision and Control (CDC), 2019 IEEE 58th Conference on. :7043-7048 Dec, 2019
Subject
Aerospace
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Switches
Drugs
Robustness
Anesthesia
Robust stability
Uncertainty
Language
ISSN
2576-2370
Abstract
Closed-loop control of anesthesia is a safety critical application, where the patient is in the loop. It is characterized by large uncertainty due to the variability in patient responses to drug administration. Linear time-invariant robust control has been used to ensure robust stability and performance, providing essential guarantees for patient safety. Switching control could improve performance, however, providing robustness guarantees for time-varying controllers remains challenging in the presence of large uncertainty. This paper provides proof of robust stability for a switching solution for propofol-remifentanil anesthesia, where a scheduling function determines switching based on the noise characteristics of the feedback signal. The switching structure and proof of stability are based on a frequency-domain method for scheduled control of systems with varying sensor configurations. This framework allows us to extend proof of stability to systems with (unstructured) uncertainty. The presented robust stability proof relies on the circle criterion. Simulation results show the potential performance improvement, while robust stability guarantees ensure patient safety is maintained in the time-varying (switching) system.