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 and constantly changing biological environments. Proportional-Integral-Derivative (PID) controllers are undeniably the most common way of implementing feedback c...
| Main Authors: | , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2022
|
| _version_ | 1797107236815765504 |
|---|---|
| author | Alexis, E Cardelli, L Papachristodoulou, A |
| author_facet | Alexis, E Cardelli, L Papachristodoulou, A |
| author_sort | Alexis, E |
| collection | OXFORD |
| description | Effective and robust regulation of biomolecular processes is crucial for designing reliable synthetic bio-devices functioning in uncertain and constantly changing biological environments. Proportional-Integral-Derivative (PID) controllers are undeniably the most common way of implementing feedback control in modern technological applications. Here, we introduce a highly tunable PID bio-controller with set point weighting and filtered derivative action presented as a chemical reaction network with mass action kinetics. To demonstrate its effectiveness, we apply our PID scheme on a simple biological process of two mutually activated species, one of which is assumed to be the output of interest. To highlight its performance advantages we compare it to PI regulation using numerical simulations in both the deterministic and stochastic setting. |
| first_indexed | 2024-03-07T07:13:11Z |
| format | Journal article |
| id | oxford-uuid:03a9cd88-20f3-414d-8f4b-e66c4e6ea123 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:13:11Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | oxford-uuid:03a9cd88-20f3-414d-8f4b-e66c4e6ea1232022-07-14T14:02:46ZOn the design of a PID bio-controller with set point weighting and filtered derivative actionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:03a9cd88-20f3-414d-8f4b-e66c4e6ea123EnglishSymplectic ElementsInstitute of Electrical and Electronics Engineers2022Alexis, ECardelli, LPapachristodoulou, AEffective and robust regulation of biomolecular processes is crucial for designing reliable synthetic bio-devices functioning in uncertain and constantly changing biological environments. Proportional-Integral-Derivative (PID) controllers are undeniably the most common way of implementing feedback control in modern technological applications. Here, we introduce a highly tunable PID bio-controller with set point weighting and filtered derivative action presented as a chemical reaction network with mass action kinetics. To demonstrate its effectiveness, we apply our PID scheme on a simple biological process of two mutually activated species, one of which is assumed to be the output of interest. To highlight its performance advantages we compare it to PI regulation using numerical simulations in both the deterministic and stochastic setting. |
| spellingShingle | Alexis, E Cardelli, L Papachristodoulou, A On the design of a PID bio-controller with set point weighting and filtered derivative action |
| title | On the design of a PID bio-controller with set point weighting and filtered derivative action |
| title_full | On the design of a PID bio-controller with set point weighting and filtered derivative action |
| title_fullStr | On the design of a PID bio-controller with set point weighting and filtered derivative action |
| title_full_unstemmed | On the design of a PID bio-controller with set point weighting and filtered derivative action |
| title_short | On the design of a PID bio-controller with set point weighting and filtered derivative action |
| title_sort | on the design of a pid bio controller with set point weighting and filtered derivative action |
| work_keys_str_mv | AT alexise onthedesignofapidbiocontrollerwithsetpointweightingandfilteredderivativeaction AT cardellil onthedesignofapidbiocontrollerwithsetpointweightingandfilteredderivativeaction AT papachristodouloua onthedesignofapidbiocontrollerwithsetpointweightingandfilteredderivativeaction |