Design of adaptive controllers for human patient anesthesia

详细信息    查看全文

• 作者：Evgeny Kharisov^a ; ^{evgeny@illinois.edu" class="auth_mail" title="E-mail the corresponding author} ; Carolyn L. Beck^a ; ^{beck3@illinois.edu" class="auth_mail" title="E-mail the corresponding author} ; Marc Bloom^b ; ^{Marc.Bloom@nyumc.org" class="auth_mail" title="E-mail the corresponding author}
• 关键词：L1L1 adaptive control ; Robust adaptive control ; System identification ; Output feedback ; Anesthesia
• 刊名：Control Engineering Practice
• 出版年：2015
• 出版时间：November 2015
• 年：2015
• 卷：44
• 期：Complete
• 页码：65-77
• 全文大小：2061 K

文摘

In this paper, the development and implementation of L₁${\mathcal{L}}_1$ adaptive control designs for anesthesia delivery to patients in surgical settings is presented. Our main objectives are the design of model-based feedback controllers ensuring that the patient׳s bispectral index profile tracks a prespecified reference trajectory, and demonstrates robustness to inter-patient variability. Patient models are constructed based on clinical trial data and gray box system identification methods. Controller switching mechanisms and specific safety measures are considered in the design and discussed in the paper. Simulation results are provided, demonstrating the effectiveness of the control methods.