不确定最大+线性系统扰动解耦中的鲁棒控制器:在药物发现高通量筛选系统中的应用

Y. Shang, L. Hardouin, M. Lhommeau, C. Maia
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引用次数: 6

摘要

针对一类系统矩阵在已知下界和上界区间内变化的不确定极大正线性系统的扰动解耦问题,提出了鲁棒控制器。这种不确定最大+线性系统的DDP定义为寻找一个控制区间,使得受扰动控制系统的输出轨迹区间属于未受扰动控制系统的输出轨迹区间。换句话说,对于这样的系统,控制能够鲁棒地吸收干扰的影响。利用余量理论构造了求解DDP的开环控制区间和输出反馈控制区间,并证明了其在准时控制条件下是最优的。本文的主要结果是通过一个用于药物发现的高通量筛选系统来说明。
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Robust controllers in disturbance decoupling of uncertain max-plus linear systems: an application to a high throughput screening system for drug discovery
This paper presents robust controllers solving the disturbance decoupling problem(DDP) of a class of uncertain max-plus linear systems, whose system matrices vary between intervals with known lower and upper bounds. The DDP for such uncertain max-plus linear systems is defined as finding a control interval such that the output trajectory interval for the disturbed controlled system belongs to the output trajectory interval for the undisturbed controlled system. In other words, the controls are able to absorb the effects of disturbances robustly for such systems. Both of the open-loop control intervals and the output feedback control intervals solving the DDP are constructed using the residuation theory and proved to be optimal for the just-in-time control criterion. The main results of this paper are illustrated by a high throughput screening system for drug discovery.
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