On the Design of a PID Bio-Controller With Set Point Weighting and Filtered Derivative Action

Effective and robust regulation of biomolecular processes is crucial for designing reliable synthetic bio-devices functioning in uncertain constantly changing biological environments. Proportional-Integral-Derivative (PID) controllers are undeniably the most common way implementing feedback control modern technological applications. Here, we introduce a highly tunable PID bio-controller with set point weighting filtered derivative action presented as chemical reaction network mass kinetics. To demonstrate its effectiveness, apply our scheme on simple process two mutually activated species, one which assumed to be output interest. highlight performance advantages compare it PI using numerical simulations both deterministic stochastic setting.