Coffee and Control

• Alberto Padoan: Part 1 (Moments of Systems and Model Reduction)

  In this episode I sit down with the wonderful Alberto Padoan and discuss his work on model order reduction and generalising concepts from linear systems to the non-linear setting.You can find the transcript at: https://CoffeeControlLinks.short.gy/IRMql9Follow the podcast on LinkedIn: https://www.linkedin.com/company/coffee-and-control-podcast/Or connect with me directly: https://www.linkedin.com/in/lucy-hodgins-733a30175/ReferencesinControl podcast: https://www.incontrolpodcast.com/ Andrea Marson: https://andreamarson.com/bio/Master’s thesis: https://thesis.unipd.it/retrieve/82963fa4-bbb4-4577-9b83-b4e741a3ce20/main.pdfAlessandro Astolfi: https://profiles.imperial.ac.uk/a.astolfiSandro Zampieri: https://automatica.dei.unipd.it/old/people/zampieri.htmlinControl guide to Controllability and Observability: https://CoffeeControlLinks.short.gy/haKTheStieltjes:  https://en.wikipedia.org/wiki/Thomas_Joannes_Stieltjes PhD thesis: https://CoffeeControlLinks.short.gy/sImTiqKeith Glover: https://www.eng.cam.ac.uk/profiles/kg103Coffee and Control episode with Paolo Rapisarda: https://open.spotify.com/episode/076dEw28abILPAbT5qA6awThesis on Krylov projectors for model reduction: https://perso.uclouvain.be/paul.vandooren/ThesisGrimme.pdfSylvester equations and model reduction: https://www.sciencedirect.com/science/article/pii/S0377042703007143Book on Sylvester equations: https://CoffeeControlLinks.short.gy/e7nYSQJacqueline Scherpen: https://www.rug.nl/staff/j.m.a.scherpen/cv?lang=enAlberto Isidori: https://www.diag.uniroma1.it/isidori/Murray Wonham book: https://link.springer.com/book/10.1007/978-1-4612-1082-5Basile and Marro book: https://CoffeeControlLinks.short.gy/gE3KxH Eigenvalues/ poles of nonlinear systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8264032Books on creativity:Ernest Hemmingway quotes: https://www.goodreads.com/author/quotes/1455.Ernest_HemingwayDynamics of Creation (https://www.amazon.co.uk/Dynamics-Creation-Anthony-Storr/dp/0345376730)explores how creativity helps resolve inner conflict.Moment matching at singularities:(Complex analytic) https://www.sciencedirect.com/science/article/pii/S2405896317314957(Geometric) https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8264369Moments of random variables: https://ieeexplore.ieee.org/abstract/document/8637762Klein bottle videos:https://www.youtube.com/watch?v=AAsICMPwGPYhttps://www.youtube.com/watch?v=-k3mVnRlQLUDistributions: https://en.wikipedia.org/wiki/Distribution_(differential_geometry)https://webspace.science.uu.nl/~ban00101/anman2009/lecture2.pdfhttp://staff.ustc.edu.cn/~wangzuoq/Courses/18F-Manifolds/Notes/Lec15.pdfAndrás Sasfi: https://control.ee.ethz.ch/people/profile.andras-sasfi.htmlModel reduction of dominant systems: https://www.sciencedirect.com/science/article/pii/S0005109821002156Rodolphe Sepulchre: https://www.eng.cam.ac.uk/profiles/rs771(inControl episode) https://CoffeeControlLinks.short.gy/1cOrwp(Paper on spiking systems) https://ieeexplore.ieee.org/document/9764708Fulvio Forni: https://www.eng.cam.ac.uk/profiles/ff286Goldbeter model: https://pmc.ncbi.nlm.nih.gov/articles/PMC9016794/Goodwin model: https://pubmed.ncbi.nlm.nih.gov/23936338/Dominance margins: https://www.sciencedirect.com/science/article/pii/S2405896319318671Early papers on dominance: https://arxiv.org/abs/1709.06155 https://arxiv.org/abs/1710.01721Intro to Nyquist diagrams: https://www.youtube.com/watch?v=sof3meN96MA John Doyle:(inControl interviews) https://CoffeeControlLinks.short.gy/BTj37khttps://CoffeeControlLinks.short.gy/k0PXanGioele Zardini: https://gioele.science/Alberto San Giovanni Vincentelli: https://www2.eecs.berkeley.edu/Faculty/Homepages/sangiovanni-vicentelli.html(inControl interviews)https://CoffeeControlLinks.short.gy/9fYOiBhttps://CoffeeControlLinks.short.gy/ehkaV9

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• Ying Shuai Quan (Model Predictive Control and Autonomous Driving)

  In this episode I sit down with Dr Ying Shuai Quan and getexcited about her work on adaptive cruise control and lane-keeping systems, with particular focus on applying model predictive control. Features deep-dives into various aspects of MPC, with occasional offshoots into other cool areas of control! You can find the transcript for this episode at: https://docs.google.com/document/d/1ufp57VuzymcEivN3lzMaHVKgH8LgqI9BZDzgmdz2pug/edit?usp=sharingFollow the podcast on LinkedIn: https://www.linkedin.com/company/coffee-and-control-podcast/Or you can connect with me directly: https://www.linkedin.com/in/lucy-hodgins-733a30175/ References/ cool papers to learn moreYing’s thesis: https://repository.hanyang.ac.kr/handle/20.500.11754/188296Tube-based adaptive cruise control paper: https://ieeexplore.ieee.org/document/9992382Motion sickness patents: (general system) https://patents.google.com/patent/US20250115255A1/en(control and estimation) https://patents.google.com/patent/US20250128715A1/enTutorial on IQCs: https://www.scopus.com/pages/publications/84979771505Classic LMI book: https://web.stanford.edu/~boyd/lmibook/lmibook.pdfLMIs in control book chapter: https://link.springer.com/chapter/10.1007/978-1-84800-025-4_4Steve Brunton MPC video: https://www.youtube.com/watch?v=YwodGM2eoy4&t=1sGreat review/ tutorial paper on MPC: https://link.springer.com/article/10.1007/s00170-021-07682-3Review on linear fractional transformations: https://ieeexplore.ieee.org/document/261572Ying’s control-barrier functions paper: https://ieeexplore.ieee.org/document/10130631Tutorial paper on CBFs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10836828Review on control barrier functions: https://ieeexplore.ieee.org/abstract/document/10836828Using CBFs in MPC: https://arxiv.org/abs/2502.08400Control Lyapunov-barrier function-based MPC: https://ieeexplore.ieee.org/document/8431468High-order CBFs: https://ieeexplore.ieee.org/document/9516971Neural network lane-keeping paper: https://ieeexplore.ieee.org/document/8859955Robust stability of NN-based LKS: https://ieeexplore.ieee.org/abstract/document/10644841Matt Turner episode: https://open.spotify.com/episode/5KLLOvbCjOkL0v8iXo84vtTranscript: https://docs.google.com/document/d/1r41Lcpv4MtxnqfMn8ZFfnAqiK5rlfcPZ19NQhfeqaFI/edit?usp=sharingMultiple model switched adaptive control: https://eprints.soton.ac.uk/72334/Examples of systems with unknown input delays:(Connected platoons) https://ieeexplore-ieee-org/document/9530266 (Glucose control in diabetes) https://www.scopus.com/pages/publications/85192198866(Spacecraft control) https://www.scopus.com/pages/publications/84947032651Min-max MPC for non-linear systems: https://www.sciencedirect.com/science/article/pii/S0947358009707034PCA: https://www.geeksforgeeks.org/data-analysis/principal-component-analysis-pca/LPV gain-scheduling control with parameter reduction: https://ieeexplore.ieee.org/document/9830128Safe MPC using constraint softening: https://arxiv.org/abs/2503.15373 Application to autonomous driving: https://arxiv.org/abs/2505.05933 Robust and Stochastic MPC: https://www.sciencedirect.com/science/article/pii/S1367578816300098Stochastic MPC review: https://ieeexplore.ieee.org/document/7740982Polynomial chaos in non-linear stochastic MPC: https://ieeexplore.ieee.org/document/6858851Polynomial chaos overview: https://ieeexplore.ieee.org/document/6595094Melanie Zeilinger: https://idsc.ethz.ch/the-institute/people/person-detail.html?persid=142737Safe learning-based control talk: https://www.youtube.com/watch?v=cBK1CNuU66c&t=572sControl meets learning seminar series: https://sites.google.com/view/control-meets-learning/home

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• ECC Special (European Control Conference 2025)

  This episode is an ECC special, where I go on a trip to theEuropean control conference and bring you with me!Connect with me and with the podcastLinkedIn: https://www.linkedin.com/in/lucy-hodgins-733a30175/X: https://x.com/coffee_ctrl_podBluesky: https://bsky.app/profile/coffee-and-control.bsky.socialInstagram: https://www.instagram.com/coffee_and_control_podcast/ References (Cool people to go look up!)ECC25 web page: https://ecc25.euca-ecc.org/Guido Carnevale: https://www.unibo.it/sitoweb/guido.carnevale/enLuca Furieri: https://www.lucafurieri.it/René Vidal: http://vision.jhu.edu/rvidal.htmlLisa Li: https://flyingpeach.github.io/Victor Magron: https://homepages.laas.fr/vmagron/Giacomo Como: https://www.control.lth.se/personnel-old/giacomo-como/Venanzio Cichella (safe autonomous agents): https://engineering.uiowa.edu/directory/venanzio-cichellaMaryam Kamgarpour: https://people.epfl.ch/maryam.kamgarpour?lang=enMiroslav Kristic: https://flyingv.ucsd.edu/Iasson Karafyllis: https://semfe.ntua.gr/en/faculty-members/item/16-karafyllisDaniel Nikovski: https://www.merl.com/people/nikovskiRosane Ushirobira: https://chercheurs.lille.inria.fr/~ushirobira/Michelle Chong: https://www.tue.nl/en/research/researchers/michelle-chongTimm Faulwasser: https://www.tuhh.de/ics/teampages/timm-faulwasserSeth Siriya: https://www.irt.uni-hannover.de/en/siriyaLorenzo Zino: https://lorenzozino90.wixsite.com/lzinoFrançois-Grégoire Bierwart (Koopman operators): https://researchportal.unamur.be/en/persons/fgbierwaKonstantin Zimenko (Finite-time stability analysis): https://dblp.org/pid/144/1527.htmlABB: https://global.abb/ Massimiliano D’Angelo: https://scholar.google.com/citations?user=KrzPm2UAAAAJ&hl=itYongduan Song (Neural network semi-plenary): https://accu.cqu.edu.cn/info/1112/3673.htmNiloufar Dabestani: https://www.trafficfluid.tuc.gr/en/people/phd-students/dabestaniAntonella Ferrara: http://sisdin.unipv.it/labsisdin/people/ferant/ferant.phpMaria Laura Delle Monache: https://ce.berkeley.edu/people/faculty/delle-monacheCarlo Novara (MPC on quantum computers): https://www.polito.it/en/staff?p=003528Daniel Hobson: https://www.southampton.ac.uk/people/5xp9hs/mr-daniel-hobsonStefano Stramigioli: https://people.utwente.nl/s.stramigioliFrank Allgower (Event-based control): https://www.uni-stuttgart.de/en/press/experts/Prof.-Frank-Allgoewer/

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• Mathias Foo (River systems and biochemical control)

  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_podBluesky: https://bsky.app/profile/coffee-and-control.bsky.socialInstagram: https://www.instagram.com/coffee_and_control_podcast/  ReferencesDr Mathias Foo: https://warwick.ac.uk/fac/sci/eng/people/mathias_foo/ PhDPhD thesis: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=H5eLRq4AAAAJ&cstart=20&pagesize=80&sortby=pubdate&citation_for_view=H5eLRq4AAAAJ:2osOgNQ5qMECNadia Bedjaoui: https://www.linkedin.com/in/nadia-bedjaoui-39862110/Observers for leak detection in irrigation channels: https://www.sciencedirect.com/science/article/abs/pii/S0967066110001498MPC using reverse engineering paper: https://ieeexplore.ieee.org/abstract/document/6114363Maciejowski MPC book: https://www.amazon.com/Predictive-Control-Constraints-Jan-Maciejowski/dp/0201398230Maciejowski inverse optimal control paper: https://www.sciencedirect.com/science/article/pii/S1474667015366180 DNA strand displacement reactionsOishi and Klavins paper: https://www.dna.caltech.edu/courses/cs191/paperscs191/Oishi2011linear.pdfDNA amplifiers: https://www.science.org/doi/10.1126/science.1148532DNA Logic gates: https://www.science.org/doi/10.1126/science.1132493DNA Detectors: https://www.dna.caltech.edu/Papers/Nucleation_DNA10.pdfPID control using DSD reactions: https://ieeexplore.ieee.org/document/8721529Nuno Paulino: https://scholar.google.com/citations?user=FKL-xegAAAAJ&hl=en&oi=aoDNA programmable gate arrays: https://www.nature.com/articles/s41586-023-06484-9Theoretical DNA feedback paper: https://www.mdpi.com/2306-5354/10/4/466DNA stability paper: https://www.sciencedirect.com/science/article/pii/S0005109820303010SSV DNA robustness paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8619072Gomez-Uribe covalent modification cycle paper: https://pubmed.ncbi.nlm.nih.gov/18159939/Quasi sliding-model controller paper: https://ieeexplore.ieee.org/document/7833853Design based on covalent modification cycle: https://link.springer.com/article/10.1186/s13036-016-0036-1PI-degradation controllers: https://warwick.ac.uk/fac/sci/eng/staff/dgb/077972431.pdf Gene regulatory networksVoit S-system paper: https://doi.org/10.1042/bse0450029Modelling and control using S-system models: https://ieeexplore.ieee.org/abstract/document/8254368Extended S-system model for restoring circadian cycles: https://www.nature.com/articles/s41540-022-00216-xUri Alon gene regulation paper: https://www.nature.com/articles/nrg2102Network re-wiring paper: https://pubs.acs.org/doi/full/10.1021/acssynbio.8b00037Reverse-engineering Hill-type models paper: https://royalsocietypublishing.org/doi/abs/10.1098/rsif.2024.08112009 Cell optimisation paper: https://www.sciencedirect.com/science/article/pii/S0092867409007120Briat antithetic integral control paper: https://www.cell.com/fulltext/S2405-4712(16)00005-3Professor Declan Bates: https://warwick.ac.uk/fac/sci/eng/staff/dgb/Steve Brunton: https://www.youtube.com/@EigensteveControl bootcamp series: https://www.youtube.com/watch?v=Pi7l8mMjYVE&list=PLMrJAkhIeNNR20Mz-VpzgfQs5zrYi085mPhysics-informed machine learning series: https://www.youtube.com/watch?v=JoFW2uSd3Uo&list=PLMrJAkhIeNNQ0BaKuBKY43k4xMo6NSbBaProbability and statistics series: https://www.youtube.com/watch?v=sQqniayndb4&list=PLMrJAkhIeNNR3sNYvfgiKgcStwuPSts9V

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• Jonathan Mayo-Maldonado (Switched systems and DC networks)

  In this episode I interview Jonathan Mayo Maldonado about his work on applying the behavioural framework to modelling and controlling switched systems, as well as applying data-driven control to power systems! You can engage with the podcast onBlueSky: https://bsky.app/profile/coffee-and-control.bsky.social Instagram: https://www.instagram.com/coffee_and_control_podcast/Follow me on LinkedIn: https://www.linkedin.com/in/lucy-hodgins-733a30175/ Or email me at [email protected] Jonathan Mayo-Maldonado: https://www.southampton.ac.uk/people/668pbh/doctor-jonathan-mayo-maldonado PhDPhD thesis: https://eprints.soton.ac.uk/383678/Switched linear differential systems: https://arxiv.org/pdf/1303.0308Dissipative switched linear differential systems: https://eprints.soton.ac.uk/386199/1/DissipativeSLDS-Rev5.pdf DC-DC convertersPower shaping control: https://www.researchgate.net/publication/344671509_Power_shaping_control_of_DC-DC_converters_with_constant_power_loadsPaolo Rapisarda’s dissipativity paper: https://eprints.soton.ac.uk/271668/1/PublishedArticle.pdf  Lifted coordinates: https://www.researchgate.net/publication/344800256_Nonlinear_Stabilizing_Control_Design_for_DC-DC_Converters_Using_Lifted_ModelsEpisode with Chris on Non-minimum phase ILC: https://open.spotify.com/episode/0hLqV5hv5OeQO3gOE6aU9cDirect voltage control of higher-order converters paper: https://www.researchgate.net/publication/359245867_Direct_Output-Voltage_Control_of_Non-Minimum_Phase_Higher-Order_DC-DC_ConvertersEnrique Garza Arias PhD thesis: https://repositorio.tec.mx/items/6dfd5498-d0d4-417c-9e33-afb75930710a  Data-driven controlActive and reactive power analogy: https://www.youtube.com/watch?v=Tv_7XWf96ggData-driven D-PMU paper: https://www.researchgate.net/publication/339887346_Data-Driven_Framework_to_Model_Identification_Event_Detection_and_Topology_Change_Location_Using_D-PMUs Voltage performance index tracking paper: https://ieeexplore.ieee.org/document/10517964 Extra questionsAdvice from a young scientist to younger scientists article:https://medium.com/@jonathanmayo_75536/advice-from-a-young-scientist-to-younger-scientists-74d9aaf2d2f2Arjan van der schafft: https://www.math.rug.nl/~arjan/index.html Johann Kolar: https://pes.ee.ethz.ch/the-institute/People/prof-kolar2.htmlKonstantinos Gatsis: https://kgatsis.github.io/

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