Linkens D A, Hasnain S B
Department of Control Engineering, University of Sheffield, U.K.
Comput Methods Programs Biomed. 1990 Nov;33(3):119-34. doi: 10.1016/0169-2607(90)90034-7.
The concept of a self-organising control system is attractive in biomedicine because of the imprecise nature of available physiological models. In this paper a particular strategy called a self-organising controller (SOC) originating from the work of Barron on aerospace systems is applied to the control of muscle relaxant anaesthesia. The SOC algorithm, which requires no prior knowledge of system dynamics, is described, both in single variable and multivariable format. Simulation results are presented for SOC performance on a well-established pancuronium model. Three implementations are described, being the use of a general purpose language, a SUN workstation approach, and a parallel computer transputer solution. The latter approach becomes important for multivariable control because of the computing-intensive nature of SOC. The transputer is shown to be a suitable vehicle for implementation in terms of speed and parallelism for SOC.
由于现有生理模型的不精确性，自组织控制系统的概念在生物医学中颇具吸引力。本文将一种源自巴伦在航空航天系统方面工作的特定策略——自组织控制器（SOC）应用于肌肉松弛麻醉的控制。文中描述了无需系统动力学先验知识的SOC算法，包括单变量和多变量形式。给出了在一个成熟的泮库溴铵模型上SOC性能的仿真结果。描述了三种实现方式，即使用通用语言、SUN工作站方法以及并行计算机晶片机解决方案。由于SOC的计算密集性，后一种方法对于多变量控制变得至关重要。从速度和并行性方面来看，晶片机被证明是适合SOC实现的载体。
