生化实现加速度传感和PIDA控制。

IF 3.5 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

NPJ Systems Biology and Applications Pub Date : 2025-04-26 DOI:10.1038/s41540-025-00514-0

Emmanouil Alexis, Sebastián Espinel-Ríos, Ioannis G Kevrekidis, José L Avalos

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引用次数: 0

摘要

这项工作介绍了一个比例-积分-导数-加速度控制方案的实现，作为一个由质量作用动力学控制的化学反应网络。该架构的核心特征是将速度和加速度生物传感机制集成到反馈配置中。我们的控制方案提供了增强的动态性能和鲁棒的稳态跟踪。除了我们的理论分析之外，这在确定性和随机设置中实际上都是突出的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Biochemical implementation of acceleration sensing and PIDA control.

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Biochemical implementation of acceleration sensing and PIDA control.

This work introduces a realization of a proportional-integral-derivative-acceleration control scheme as a chemical reaction network governed by mass action kinetics. A central feature of this architecture is a speed and acceleration biosensing mechanism integrated into a feedback configuration. Our control scheme provides enhanced dynamic performance and robust steady-state tracking. In addition to our theoretical analysis, this is practically highlighted in-silico in both the deterministic and stochastic settings.

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来源期刊

NPJ Systems Biology and Applications Mathematics-Applied Mathematics

CiteScore

5.80

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.