https://scholars.lib.ntu.edu.tw/handle/123456789/637698
標題: | An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS | 作者: | Wei, Zi Xiao Doctor, Faiyaz Liu, Yan Xin SHOU-ZEN FAN Shieh, Jiann Shing |
關鍵字: | Anesthesia | genetic programming (GP) | optimization | surrogate model (SM) | type-2 fuzzy controller | 公開日期: | 1-六月-2020 | 卷: | 28 | 期: | 6 | 來源出版物: | IEEE Transactions on Fuzzy Systems | 摘要: | During general anesthesia, anesthesiologists who provide anesthetic dosage traditionally play a fundamental role to regulate bispectral index (BIS). However, in this article, an optimized type-2 self-organizing fuzzy logic controller (SOFLC) is designed for a target controlled infusion pump related to propofol dosing guided by BIS, to realize automatic control of general anesthesia. The type-2 SOFLC combines a type-2 fuzzy logic controller with a self-organizing mechanism to facilitate online training while able to contend with operational uncertainties. A novel data-driven surrogate model and genetic programming-based strategy is introduced for optimizing the type-2 SOFLC parameters offline to handle interpatient variability. A pharmacological model is built for simulation in which different optimization strategies are tested and compared. Simulation results are presented to demonstrate the applicability of our approach and show that the proposed optimization strategy can achieve better control performance in terms of steady-state error and robustness. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/637698 | ISSN: | 10636706 | DOI: | 10.1109/TFUZZ.2020.2969384 |
顯示於: | 醫學系 |
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