干扰下急性炎症反应的鲁棒约束药物剂量调节

Meriç Çetin, S. Beyhan
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引用次数: 0

摘要

生物过程、疾病和器官的数学建模对于基于模型的疾病控制非常重要。由于未建模的动力学、未知和外部干扰,基于这些模型的控制器的性能会降低,无法实现精确控制。因此,在病人身上的应用尤其需要鲁棒控制器。炎症是许多复杂生物现象和疾病的成因,是一个难以控制的非线性过程。本文设计了连续时间滑模控制器,用于控制脓毒症和无菌病例在外界干扰下的急性炎症反应(AIR)和抗菌药物输注。滑模控制器(SMC)主要用于控制非线性系统免受外部干扰和参数不确定性的影响。在控制信号生成的基础上,根据临床经验提出控制信号的约束条件,使所应用的控制信号适合于人体健康,提高了控制器的性能。由于急性炎症反应的行为存在多个平衡点,因此难以设计无输入约束的基于模型的控制器。在数值应用中,控制了脓毒性死亡和无菌性死亡的干扰情况,并获得了可接受的性能,为今后的临床应用提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Constrained Drug Dosage Regulation of Acute Inflammation Response Under Disturbances
Mathematical modelling of the biological processes, diseases and organs are important for the model-based control of diseases. Due to unmodeled dynamics, unknown and external disturbances, the performance of controllers based on these models are degraded for the accurate control. Therefore, robust controllers are need especially for the applications on patients. Inflammation, the cause of many complex biological phenomena and diseases, is a nonlinear process that is difficult to control. In this paper, continuous-time sliding-mode controller has been designed for the control of acute inflammation response (AIR) and antibacterial drug infusion under external disturbances both for septic and aseptic cases. Sliding-mode controller (SMC) is mostly used to control nonlinear systems against external disturbances and parametric uncertainties. Beside the control signal generation, we propose constraints on the control signals based on the clinical experiences such that the applied control signal is suitable for the health and improves the performance of the controller. Due to the multiple equilibrium point on the behavior of the acute inflammation response, it is difficult to design such model-based controllers without input constraints. In the numerical applications, septic death case and aseptic death case with disturbances are controlled and acceptable performances are obtained for future clinical applications.
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