Biochemical implementation of acceleration sensing and PIDA control

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

doi:10.1038/s41540-025-00514-0

Biochemical implementation of acceleration sensing and PIDA control

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

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Article number	39
Journal	npj Systems Biology and Applications
Volume	11
Issue number	1
DOIs	https://doi.org/10.1038/s41540-025-00514-0
State	Published - Dec 2025

All Science Journal Classification (ASJC) codes

Modeling and Simulation
General Biochemistry, Genetics and Molecular Biology
Drug Discovery
Computer Science Applications
Applied Mathematics

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10.1038/s41540-025-00514-0

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AU - Avalos, José L.

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N2 - 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.

AB - 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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Biochemical implementation of acceleration sensing and PIDA control

Abstract

All Science Journal Classification (ASJC) codes

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