Coffee and Control

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

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

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/

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

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 lhodginscontrol@gmail.com 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/

In this episode I talk to Professor Paolo Rapisarda about a bunch of interesting theoretical (but very useful) aspects of control, including his work on behavioural systems theory, model reduction, Willems’ fundamental lemma, and data-driven control.You can find the transcript at: https://docs.google.com/document/d/1xosQlyCazjngvrydEdlSX917p84v4GY8Maljp5J8MQY/edit?usp=sharingYou can engage with the podcast onX: https://x.com/coffee_ctrl_podBlueSky: https://bsky.app/profile/coffee-and-control.bsky.socialInstagram: https://www.instagram.com/coffee_and_control_podcast/Or email me at lhodginscontrol@gmail.com Paolo Rapisarda: https://www.southampton.ac.uk/people/5x2hb9/professor-paolo-rapisarda IntroductionState maps for linear systems: https://eprints.soton.ac.uk/264646/1/State_maps.pdfHarry Trentelman: https://research.rug.nl/en/persons/harry-trentelmanJan Willems: https://homes.esat.kuleuven.be/~sistawww/smc/jwillems/PhD thesis: https://research.rug.nl/en/publications/linear-differential-systems-2 Behavioural systemsEpic Jan Willems behavioural systems paper: https://skoge.folk.ntnu.no/prost/proceedings/cpc6-jan2002/willems.pdf State mapsLTV paper:https://eprints.soton.ac.uk/457114/1/State_for_linear_discrete_time_varying_systems.pdfLeibnitz rule: https://www.cuemath.com/calculus/leibniz-rule/  DissipativityJan Willem’s paper: https://link.springer.com/article/10.1007/bf00276493Jan Willem’s optimal control paper: https://ieeexplore.ieee.org/abstract/document/1099831Quadratic differential forms: https://epubs.siam.org/doi/10.1137/S0363012996303062  BalancingSiep Weiland: https://ieeexplore.ieee.org/author/37301202100Keith Glover: https://www.eng.cam.ac.uk/profiles/kg103H-infinity model order reduction: https://ieeexplore.ieee.org/document/7010851980 Moore balancing paper: https://ieeexplore.ieee.org/document/1102568Kalman decomposition: https://en.wikipedia.org/wiki/Kalman_decomposition Arjan van der Schaft: https://scholar.google.nl/citations?user=BIPifjAAAAAJ&hl=enHamiltonian systems: https://www.unige.ch/~hairer/poly_geoint/week1.pdfPort Hamiltonianity:https://www.annualreviews.org/content/journals/10.1146/annurev-control-081219-092250Jacqueline Scherpen: https://research.rug.nl/en/persons/jacqueline-scherpenBalancing of Port-Hamiltonian systems: https://research.rug.nl/files/2999949/2003ProcIFACWorkshopLHMNCLopezlena.pdfBalancing for non-linear systems: https://research.rug.nl/files/3318296/1993ProcECCScherpen.pdf  Fundamental lemmaIvan Markovski: https://scholar.google.com/citations?user=qSl_3FQAAAAJ&hl=enContinuous-time work: https://www.sciencedirect.com/science/article/pii/S016769112400238XChebychev polynomials: https://mathworld.wolfram.com/ChebyshevPolynomialoftheFirstKind.htmlKanat Camblibel: https://scholar.google.com/citations?user=aeWjKPcAAAAJ&hl=enSufficient condition modification of Willems’s lemma: https://arxiv.org/abs/2405.18962Experimental implementation: https://arxiv.org/abs/2407.12509 Data-driven controlData-driven ILC:https://ieeexplore.ieee.org/abstract/document/10384133DeePC: https://arxiv.org/abs/1811.05890Jonathan Mayo-Maldonado: https://scholar.google.co.uk/citations?user=W-vnMBwAAAAJ&hl=en Extra questionsAizerman’s conjecture: https://en.wikipedia.org/wiki/Aizerman%27s_conjecture

In this episode I interview Professor Sabine Hauert about the super interesting work she does on the control of swarm robots, how considering nanoparticles as swarms can be used to treat cancer, and how morphogenesis can generate structure from random interactions. You can follow us on Instagram (https://www.instagram.com/coffee_and_control_podcast/),BlueSky (https://bsky.app/profile/coffee-and-control.bsky.social) and X(https://x.com/coffee_ctrl_pod)for updates on episodes!You can also connect with or follow me on LinkedIn: https://www.linkedin.com/in/lucy-hodgins-733a30175/ReferencesSabine: https://hauertlab.com/Podcasts/ TEDx talkshttps://www.youtube.com/watch?v=sn1gmcs-HXUhttps://www.youtube.com/watch?v=NBbYuzhxpE0http://youtube.com/watch?v=vvknnV6325Q Robot Talk: https://open.spotify.com/episode/0JWPnKQmwTQdM1K7247jkqComplexity: https://open.spotify.com/episode/6nfcUpB3wesHqXP5XzSPAlEngenius: https://open.spotify.com/episode/34jert4EQGBVrQBfS4OfxW ResearchInvertebrate inspiration review paper: https://iopscience.iop.org/article/10.1088/1748-3190/acc223/metaCentipede control inspiration: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0171421David Garzon-Ramos: https://dgarzonramos.com/Puzzle/ Problem/mess paper: https://arxiv.org/abs/2410.22478Dario Floriano: https://people.epfl.ch/dario.floreano?lang=enManuela Veloso: https://engineering.cmu.edu/directory/bios/veloso-manuela.html PhDPhD thesis: https://infoscience.epfl.ch/entities/publication/dbb9fe40-930c-4e54-a5c0-10b62ebb6d1cRobot swarm video: https://www.youtube.com/watch?v=n_qRuHkD5lcOnboard evolution of swarm behaviours: https://advanced.onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.201900031Supervisory control papers: https://research-information.bris.ac.uk/files/229980063/Paper_SWARM2019.pdfMAP-elites algorithm: https://link.springer.com/chapter/10.1007/978-3-319-77538-8_49 MorphogenesisJames Sharpe: https://www.embl.org/people/person/james-sharpe/Original paper: https://www.science.org/doi/full/10.1126/scirobotics.aau9178Controllability of morphogenesis: https://research-information.bris.ac.uk/en/publications/toward-controllable-morphogenesis-in-large-robot-swarmsControllability in control theory: https://en.wikipedia.org/wiki/ControllabilitySteve Brunton controllability Gramian video: https://www.youtube.com/watch?v=ZNHx62HbKNAAlan Turing reaction diffusion paper: https://www.dna.caltech.edu/courses/cs191/paperscs191/turing.pdf NanoswarmsSangita Bhatia: https://ki.mit.edu/people/faculty/sangeeta-bhatiaNanoswarm papers: https://pmc.ncbi.nlm.nih.gov/articles/PMC4295824/John Ives: https://www.bristol.ac.uk/people/person/Jonathan-Ives-fa38de81-8d34-4978-a99d-1f55efe2e0f4/Matimba Swana: https://research-information.bris.ac.uk/en/persons/matimba-c-swana OutreachAIhub.org: https://aihub.org/Robohub.org: https://robohub.org/Drones for 3D printing buildings: https://robohub.org/five-ways-drones-will-change-the-way-buildings-are-designed/AI environmental impact: https://aihub.org/2025/02/06/explained-generative-ais-environmental-impact/AI for drug development: https://aihub.org/2025/01/09/will-ai-revolutionize-drug-development-researchers-explain-why-it-depends-on-how-its-used/ Extra questionsRadhika Nagpal: https://www.radhikanagpal.org/Dot robots: https://arxiv.org/pdf/2203.13809

In this episode, I talk to Professor William Holderbaum about some of the many fascinating areas of research he’s involved in, including Boolean control, geometric control, and control of electroactive polymer gels—plus a lot more! Follow us for updates on new episodes: Instagram BlueSky X (Twitter) PhD research PhD Thesis (in French) Boolean Control Using State-Space Approach Neural Networks for Boolean Control PID Control of Boolean Systems Predictive Control Sliding Mode Control FES work Coffee and Control Episode with Chris Freeman Professor Ken Hunt FES for Paraplegic Standing Adaptive PID Sliding Mode Control FES muscle fatigue papers Chapter 5 of this Thesis PubMed Paper 1 PubMed Paper 2 IEEE Explore Paper Fatigue reduction with soft robotics Geometric control Resources for Understanding Geometric Control Lecture Slides YouTube Video 6D Lie Groups Application to Spacecraft Time-Parameterized Motion Planning Control of RTG cranes Optimal Control and MPC Fuzzy Logic Control Electroactive polymer gels Paper 1 Paper 2 Springer Chapter Model-Based Control of Soft Robots Arm with Self-Control Feedback Loop

In this episode I talk to Dr Zehor Belkhatir about her fascinating work using fractional order systems to model the brain, as well as how control can be used for chemotherapy treatment. You can follow us on Instagram, BlueSky, and X for updates on episodes! References Thesis: Dr. Zehor Belkhatir's thesis explores key aspects of fractional systems in biomedical applications. Fractional order estimation: ScienceDirect article. Cardiovascular system ECC paper: IEEE Explore paper. Hybrid dynamical systems: Springer chapter. Kevin Aquino: Google Scholar profile. Fractional differential equations textbook: Mathematics in Science and Engineering. Fractional calculus in biomedical engineering book: Begell House publication. Fractional Robust Control Design book: Springer book. Fractional order Matlab toolbox: MathWorks resource. Fractional Youla-Kucera parameterisation: (Details forthcoming). Allen Tannenbaum: Profile. Jeff Shamma: Profile. Larry Norton: MSKCC Profile. Cancer modelling (and MPC) paper: Google Scholar citation. Impulse response cancer control: Google Scholar citation. Optimal mass transport paper: bioRxiv abstract.

In this episode we interview Professor Matthew Turner, professor in the Cyber Physical Systems group at the university of Southampton, about his fascinating work on aircraft control, anti-windup, Lur’e systems, and his recent research into applying techniques from control theory to the analysis of neural networks.The transcript for this episode is available at: https://docs.google.com/document/d/1r41Lcpv4MtxnqfMn8ZFfnAqiK5rlfcPZ19NQhfeqaFI/edit?usp=sharing  Contact me at: lgh1g19@soton.ac.ukWe have an Instagram now!References:PhD ThesisNationalResearch Council of Canada Aerospace Research CentreNonlinear High Gain FeedbackLMIs in ControlAW for Model-Reference Adaptive ControlAW for ILCAnti-Windup ReviewTwo-Stage Anti-WindupAnti-Windup in Anticipation of Saturation (Zongli Lin)Matt TurnerChris RichardsAizerman ConjectureIan PostlethwaiteJorge SofronyMurray KerrOliver BriegerCircle and Popov CriterionKhalil Nonlinear Control BookZames and Sakkary Gap Metric PaperGeorge ZamesZames-Falb Multipliers Summary ArticleO’ShearZames-Falb Multipliers: Don’t PanicEarly Neural Network Work (with Guido Hermann)Additional NN ResearchRoss DrummondReLU Network Analysis Using Lur’e SystemsAntonis PapachristodolouExploiting Sparsity in Neural NetworksRobust Control PaperMalcolm SmithGlenn VinnicombeOther cool neural network/ control papersSynthesis of MPC Algorithms that Robustly Approximate Neural NetworksShrinking Down Neural Networks Using Inspiration from ControlDesigning Neural Networks that are More Robust

In this first episode, I talk to Chris Freeman, professor of applied control at the University of Southampton and expert on all things related to iterative learning control and its application in rehabilitation.The transcript for this episode is available at: https://docs.google.com/document/d/1GYq__XkxFequ0zavy0k5fKVo_CPskZvn7VsR3o_XpL8/edit?usp=sharingContact Chris at ctf1@soton.ac.ukContact me at lgh1g19@soton.ac.ukReferences:1984 ILC paperEarly stroke rehabilitation workRC for tremor suppressionILC and RC design paperMultiple model adaptive control for FESRobust control of Hammerstein systemsElectrode array control (1)Electrode array control (2)FES control review paperThoracic pressure control paperPeople Chris worked with throughout his PhD:Paul LewinEric RogersJari HatonenDavid OwensJames RatcliffeRehabilitation robotics folks:Jane BurridgeIgo KrebsNeville HoganJonathan Rossiter (Cool video)Tremor suppression:Kevin MooreTrish SampsonMultiple model ILC:Mark FrenchDominic BuchstallerOli BrendAbeer Al-GburiElectrode arrays:Thierry KellerFATRONIK-Tecnalia research centreRussel TorahKai Yangm.c. SchraefelBiomedical contexts of ILC:Mike ThompsonRujie SunEDI:Reena PauDorota SikorskaOther projects:Haiming LiuRafael Mestre

Trailer for my new control-related podcast! Epsiodes will be released on the 1st of each month. You can check out inControl here: https://www.incontrolpodcast.com/ inControl episodes tend to be realeased during the middle of the month, so you could subscribe to both! (Please bear with me regarding the strange background noises and general awkwardness - I'm still learning how podcast making works!)