Coffee and Control

Coffee and Control
Podcast Description
Podcast in which I interview fascinating people from within the world of control theory/ control engineering. Primarily aimed at PhD/masters students but can hopefully be enjoyed by anyone with an interest in control.
New episodes released monthly
Podcast Insights
Content Themes
The podcast focuses on a range of advanced topics within control theory, including geometric control, fractional order systems, aircraft control, and rehabilitation applications. Episodes dive into specific areas such as Boolean control using state-space approaches, anti-windup techniques in aircraft systems, and the application of iterative learning control in stroke rehabilitation.

Podcast in which I interview fascinating people from within the world of control theory/ control engineering. Primarily aimed at PhD/masters students but can hopefully be enjoyed by anyone with an interest in control.
New episodes released monthly
In this episode I interview Dr Mathias Foo about his fascinating research on controlling river systems, implementing control systems using DNA, and gene network rewiring. Basically applying control to a bunch of different systems that you weren’t expecting.
Connect with me and with the podcast!
LinkedIn: https://www.linkedin.com/in/lucy-hodgins-733a30175/
X: https://x.com/coffee_ctrl_pod
Bluesky: https://bsky.app/profile/coffee-and-control.bsky.social
Instagram: https://www.instagram.com/coffee_and_control_podcast/
References
Dr Mathias Foo: https://warwick.ac.uk/fac/sci/eng/people/mathias_foo/
PhD
Nadia Bedjaoui: https://www.linkedin.com/in/nadia-bedjaoui-39862110/
Observers for leak detection in irrigation channels: https://www.sciencedirect.com/science/article/abs/pii/S0967066110001498
MPC using reverse engineering paper: https://ieeexplore.ieee.org/abstract/document/6114363
Maciejowski MPC book: https://www.amazon.com/Predictive-Control-Constraints-Jan-Maciejowski/dp/0201398230
Maciejowski inverse optimal control paper: https://www.sciencedirect.com/science/article/pii/S1474667015366180
DNA strand displacement reactions
Oishi and Klavins paper: https://www.dna.caltech.edu/courses/cs191/paperscs191/Oishi2011linear.pdf
DNA amplifiers: https://www.science.org/doi/10.1126/science.1148532
DNA Logic gates: https://www.science.org/doi/10.1126/science.1132493
DNA Detectors: https://www.dna.caltech.edu/Papers/Nucleation_DNA10.pdf
PID control using DSD reactions: https://ieeexplore.ieee.org/document/8721529
Nuno Paulino: https://scholar.google.com/citations?user=FKL-xegAAAAJ&hl=en&oi=ao
DNA programmable gate arrays: https://www.nature.com/articles/s41586-023-06484-9
Theoretical DNA feedback paper: https://www.mdpi.com/2306-5354/10/4/466
DNA stability paper: https://www.sciencedirect.com/science/article/pii/S0005109820303010
SSV DNA robustness paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8619072
Gomez-Uribe covalent modification cycle paper: https://pubmed.ncbi.nlm.nih.gov/18159939/
Quasi sliding-model controller paper: https://ieeexplore.ieee.org/document/7833853
Design based on covalent modification cycle: https://link.springer.com/article/10.1186/s13036-016-0036-1
PI-degradation controllers: https://warwick.ac.uk/fac/sci/eng/staff/dgb/077972431.pdf
Gene regulatory networks
Voit S-system paper: https://doi.org/10.1042/bse0450029
Modelling and control using S-system models: https://ieeexplore.ieee.org/abstract/document/8254368
Extended S-system model for restoring circadian cycles: https://www.nature.com/articles/s41540-022-00216-x
Uri Alon gene regulation paper: https://www.nature.com/articles/nrg2102
Network re-wiring paper: https://pubs.acs.org/doi/full/10.1021/acssynbio.8b00037
Reverse-engineering Hill-type models paper: https://royalsocietypublishing.org/doi/abs/10.1098/rsif.2024.0811
2009 Cell optimisation paper: https://www.sciencedirect.com/science/article/pii/S0092867409007120
Briat antithetic integral control paper: https://www.cell.com/fulltext/S2405-4712(16)00005-3
Professor Declan Bates: https://warwick.ac.uk/fac/sci/eng/staff/dgb/
Steve Brunton: https://www.youtube.com/@Eigensteve
Control bootcamp series: https://www.youtube.com/watch?v=Pi7l8mMjYVE&list=PLMrJAkhIeNNR20Mz-VpzgfQs5zrYi085m
Physics-informed machine learning series: https://www.youtube.com/watch?v=JoFW2uSd3Uo&list=PLMrJAkhIeNNQ0BaKuBKY43k4xMo6NSbBa
Probability and statistics series: https://www.youtube.com/watch?v=sQqniayndb4&list=PLMrJAkhIeNNR3sNYvfgiKgcStwuPSts9V

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