Proportional–Integral Degradation Control Allows Accurate Tracking of Biomolecular Concentrations With Fewer Chemical Reactions

Mathias Foo, Jongrae Kim, Jongmin Kim, D. Bates
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引用次数: 4

Abstract

We consider the design of synthetic embedded feedback circuits that can implement desired changes in the concentration of the output of a biomolecular process (reference tracking in control terminology). Such systems require the use of a “subtractor” to generate an error signal that captures the difference between the current and desired values of the process output. Unfortunately, standard implementations of the subtraction operator using chemical reaction networks are one sided, i.e., they cannot produce negative error signals. Previous attempts to deal with this problem by representing signals as the difference in concentrations of two different biomolecular species lead to a doubling of the number of chemical reactions required to generate the circuit, hence sharply increasing the difficulty of experimental implementations and limiting the complexity of potential designs. Here, we propose an alternative approach that introduces a degradation term into the classical proportion–integral (PI) control scheme. The extra tuning flexibility of the PI degradation controller compensates for the limitations of the one-sided subtraction operator, providing robust high-performance tracking of concentration changes with a minimal number of chemical reactions.
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比例积分降解控制允许精确跟踪生物分子浓度与较少的化学反应
我们考虑设计合成嵌入式反馈电路,可以实现生物分子过程输出浓度的期望变化(控制术语中的参考跟踪)。这种系统需要使用“减法器”来产生一个错误信号,该信号捕获过程输出的电流值和期望值之间的差值。不幸的是,使用化学反应网络的减法算子的标准实现是片面的,即它们不能产生负误差信号。先前的尝试是将信号表示为两种不同生物分子的浓度差异,导致生成电路所需的化学反应数量增加一倍,从而大大增加了实验实现的难度,并限制了潜在设计的复杂性。在这里,我们提出了一种替代方法,在经典的比例积分(PI)控制方案中引入退化项。PI退化控制器的额外调整灵活性补偿了单侧减法算子的局限性,以最少的化学反应数量提供了强大的高性能浓度变化跟踪。
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