This episode features the second part of my interview with the fantastic Alberto Padoan! Featuring discussions of data-driven modelling in a geometric/ non-linear context, how to define distances in a behavioural systems setting, and the origin story of his podcast, inControl.

You can find the transcript at: https://CoffeeControlLinks.short.gy/y67vmp

Follow the podcast on linkedIn: https://www.linkedin.com/company/coffee-and-control-podcast

Or connect with me personally: https://www.linkedin.com/in/lucy-hodgins-733a30175/

Alberto episode part 1: https://open.spotify.com/episode/1kwlnlQqtID1naRcyLL12O

Paolo Rapisarda: https://www.southampton.ac.uk/people/5x2hb9/professor-paolo-rapisarda

(Coffee and Control episode) https://open.spotify.com/episode/076dEw28abILPAbT5qA6aw

Persistency of excitation for autonomous systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7902166

Giordano Scarciotti: https://giordanoscarciotti.com/

Alessandro Astolfi: https://profiles.imperial.ac.uk/a.astolfi

Alessandro’s paper on moment matching: https://ieeexplore.ieee.org/abstract/document/5437314

Almost periodicity: https://www.johndcook.com/blog/2022/02/16/almost-periodic-functions/

Examples of uses of polynomial matrices in behaviouralsystems context: https://research.rug.nl/en/publications/linear-differential-systems-2

Conical, convex, and affine behaviours paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10383687

Jan Willems behavioural systems paper: https://homes.esat.kuleuven.be/~sistawww/smc/jwillems/Articles/ConferenceArticles/2002/5.pdf

Ettore Fornasini: https://www.dei.unipd.it/~fornasini/

Data-driven control Stuttgart: ⁠https://CoffeeControlLinks.short.gy/Y3ytXoAutonomous e-scooter: https://CoffeeControlLinks.short.gy/oMiusDSoft robotics: https://ieeexplore.ieee.org/document/9992740MPC control of covid outbreaks: https://www.sciencedirect.com/science/article/pii/S136757882030078X?via%3Dihub

Florian Dörfler: https://dorfler.ethz.ch/

John Lygeros: https://control.ee.ethz.ch/people/profile.john-lygeros.html

Jeremy Coulson:  https://jeremycoulson.github.io/

Keith Moffat: www.keithmoffat.comAlessandro Chuiso: https://automatica.dei.unipd.it/alessandro-chiuso/

Linear quadratic tracking paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7068299

Ivan Markovsky: https://imarkovs.github.io/

Distances between finite horizon behaviours: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11022752

Uncertainty quantification in data-driven control: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9993002

Split-as-a-pro: https://arxiv.org/pdf/2505.19411

Yu Tang: https://nccr-automation.ch/about/people/yu-tang

Carlo Cenedese: https://ee.ethz.ch/the-department/people-a-z/person-detail.Mjg0OTQz.TGlzdC8zMjc5LC0xNjUwNTg5ODIw.html

Alessio Rimoldi: https://github.com/AlessioRimoldi

Behavioural uncertainty gap metric paper: https://ieeexplore.ieee.org/abstract/document/9993002

Vidyasagar inControl episode (ep 33): https://CoffeeControlLinks.short.gy/wfzcsi

Malcolm Smith: https://www.eng.cam.ac.uk/profiles/mcs1000Glenn Vinnicombe: https://www.eng.cam.ac.uk/profiles/gv103
DeePC: https://arxiv.org/abs/1811.05890

CDC/LSS paper: https://arxiv.org/abs/2503.22849

Steve Brunton SVD series: https://CoffeeControlLinks.short.gy/isMaZS

inControl podcast: https://www.incontrolpodcast.com/

NCCR automation: https://nccr-automation.ch/

Rudolf Kalman: https://en.wikipedia.org/wiki/Rudolf_E._K%C3%A1lm%C3%A1n

Jan Willems: https://en.wikipedia.org/wiki/Jan_Camiel_Willems

George Zames: https://en.wikipedia.org/wiki/George_Zames

Norbert Weiner inControl episode: https://CoffeeControlLinks.short.gy/7PQUfdRichard Bellman inControl episode: https://CoffeeControlLinks.short.gy/XGgk11(Miroslav Kristic) https://CoffeeControlLinks.short.gy/1RD07e(Tryphon Georgiou) https://CoffeeControlLinks.short.gy/mwpfwx(Mustafa Khammash) https://CoffeeControlLinks.short.gy/T0BsyS

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/IRMql9

Follow 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/

References

inControl 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.pdf

Alessandro Astolfi: https://profiles.imperial.ac.uk/a.astolfi

Sandro Zampieri: https://automatica.dei.unipd.it/old/people/zampieri.html

inControl guide to Controllability and Observability: https://CoffeeControlLinks.short.gy/haKThe

Stieltjes:  https://en.wikipedia.org/wiki/Thomas_Joannes_Stieltjes

PhD thesis: https://CoffeeControlLinks.short.gy/sImTiq

Keith Glover: https://www.eng.cam.ac.uk/profiles/kg103

Coffee and Control episode with Paolo Rapisarda: https://open.spotify.com/episode/076dEw28abILPAbT5qA6aw

Thesis on Krylov projectors for model reduction: https://perso.uclouvain.be/paul.vandooren/ThesisGrimme.pdf

Sylvester equations and model reduction: https://www.sciencedirect.com/science/article/pii/S0377042703007143

Book on Sylvester equations: https://CoffeeControlLinks.short.gy/e7nYSQ

Jacqueline Scherpen: https://www.rug.nl/staff/j.m.a.scherpen/cv?lang=en

Alberto Isidori: https://www.diag.uniroma1.it/isidori/

Murray Wonham book: https://link.springer.com/book/10.1007/978-1-4612-1082-5

Basile and Marro book: https://CoffeeControlLinks.short.gy/gE3KxH

Eigenvalues/ poles of nonlinear systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8264032

Books on creativity:

Ernest Hemmingway quotes: https://www.goodreads.com/author/quotes/1455.Ernest_Hemingway

Dynamics 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=8264369

Moments of random variables: https://ieeexplore.ieee.org/abstract/document/8637762

Klein bottle videos:

https://www.youtube.com/watch?v=AAsICMPwGPY

https://www.youtube.com/watch?v=-k3mVnRlQLU

Distributions: https://en.wikipedia.org/wiki/Distribution_(differential_geometry)

https://webspace.science.uu.nl/~ban00101/anman2009/lecture2.pdf

http://staff.ustc.edu.cn/~wangzuoq/Courses/18F-Manifolds/Notes/Lec15.pdf

András Sasfi: https://control.ee.ethz.ch/people/profile.andras-sasfi.html

Model reduction of dominant systems: https://www.sciencedirect.com/science/article/pii/S0005109821002156

Rodolphe 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/9764708

Fulvio Forni: https://www.eng.cam.ac.uk/profiles/ff286

Goldbeter 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/S2405896319318671

Early papers on dominance: https://arxiv.org/abs/1709.06155

https://arxiv.org/abs/1710.01721

Intro to Nyquist diagrams: https://www.youtube.com/watch?v=sof3meN96MA

John Doyle:

(inControl interviews) https://CoffeeControlLinks.short.gy/BTj37k

https://CoffeeControlLinks.short.gy/k0PXan

Gioele Zardini: https://gioele.science/Alberto San Giovanni Vincentelli: https://www2.eecs.berkeley.edu/Faculty/Homepages/sangiovanni-vicentelli.html

(inControl interviews)

https://CoffeeControlLinks.short.gy/9fYOiB

https://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=sharing

Follow 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 more

Ying’s thesis: https://repository.hanyang.ac.kr/handle/20.500.11754/188296

Tube-based adaptive cruise control paper: https://ieeexplore.ieee.org/document/9992382

Motion sickness patents: (general system) https://patents.google.com/patent/US20250115255A1/en

(control and estimation) https://patents.google.com/patent/US20250128715A1/en

Tutorial on IQCs: https://www.scopus.com/pages/publications/84979771505

Classic LMI book: https://web.stanford.edu/~boyd/lmibook/lmibook.pdf

LMIs in control book chapter: https://link.springer.com/chapter/10.1007/978-1-84800-025-4_4

Steve Brunton MPC video: https://www.youtube.com/watch?v=YwodGM2eoy4&t=1s

Great review/ tutorial paper on MPC: https://link.springer.com/article/10.1007/s00170-021-07682-3

Review on linear fractional transformations: https://ieeexplore.ieee.org/document/261572

Ying’s control-barrier functions paper: https://ieeexplore.ieee.org/document/10130631

Tutorial paper on CBFs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10836828

Review on control barrier functions: https://ieeexplore.ieee.org/abstract/document/10836828

Using CBFs in MPC: https://arxiv.org/abs/2502.08400

Control Lyapunov-barrier function-based MPC: https://ieeexplore.ieee.org/document/8431468

High-order CBFs: https://ieeexplore.ieee.org/document/9516971

Neural network lane-keeping paper: https://ieeexplore.ieee.org/document/8859955

Robust stability of NN-based LKS: https://ieeexplore.ieee.org/abstract/document/10644841

Matt Turner episode: https://open.spotify.com/episode/5KLLOvbCjOkL0v8iXo84vt

Transcript: https://docs.google.com/document/d/1r41Lcpv4MtxnqfMn8ZFfnAqiK5rlfcPZ19NQhfeqaFI/edit?usp=sharing

Multiple 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/84947032651

Min-max MPC for non-linear systems: https://www.sciencedirect.com/science/article/pii/S0947358009707034

PCA: https://www.geeksforgeeks.org/data-analysis/principal-component-analysis-pca/

LPV gain-scheduling control with parameter reduction: https://ieeexplore.ieee.org/document/9830128

Safe 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/S1367578816300098

Stochastic MPC review: https://ieeexplore.ieee.org/document/7740982Polynomial chaos in non-linear stochastic MPC: https://ieeexplore.ieee.org/document/6858851

Polynomial chaos overview: https://ieeexplore.ieee.org/document/6595094

Melanie Zeilinger: https://idsc.ethz.ch/the-institute/people/person-detail.html?persid=142737

Safe learning-based control talk: https://www.youtube.com/watch?v=cBK1CNuU66c&t=572s

Control 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 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 (Cool people to go look up!)

ECC25 web page: https://ecc25.euca-ecc.org/

Guido Carnevale: https://www.unibo.it/sitoweb/guido.carnevale/en

Luca Furieri: https://www.lucafurieri.it/

René Vidal: http://vision.jhu.edu/rvidal.html

Lisa 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-cichella

Maryam Kamgarpour: https://people.epfl.ch/maryam.kamgarpour?lang=en

Miroslav Kristic: https://flyingv.ucsd.edu/

Iasson Karafyllis: https://semfe.ntua.gr/en/faculty-members/item/16-karafyllis

Daniel Nikovski: https://www.merl.com/people/nikovski

Rosane Ushirobira: https://chercheurs.lille.inria.fr/~ushirobira/

Michelle Chong: https://www.tue.nl/en/research/researchers/michelle-chong

Timm Faulwasser: https://www.tuhh.de/ics/teampages/timm-faulwasser

Seth Siriya: https://www.irt.uni-hannover.de/en/siriya

Lorenzo Zino: https://lorenzozino90.wixsite.com/lzino

François-Grégoire Bierwart (Koopman operators): https://researchportal.unamur.be/en/persons/fgbierwa

Konstantin Zimenko (Finite-time stability analysis): https://dblp.org/pid/144/1527.html

ABB: https://global.abb/

Massimiliano D’Angelo: https://scholar.google.com/citations?user=KrzPm2UAAAAJ&hl=it

Yongduan Song (Neural network semi-plenary): https://accu.cqu.edu.cn/info/1112/3673.htm

Niloufar Dabestani: https://www.trafficfluid.tuc.gr/en/people/phd-students/dabestani

Antonella Ferrara: http://sisdin.unipv.it/labsisdin/people/ferant/ferant.php

Maria Laura Delle Monache: https://ce.berkeley.edu/people/faculty/delle-monache

Carlo Novara (MPC on quantum computers): https://www.polito.it/en/staff?p=003528

Daniel Hobson: https://www.southampton.ac.uk/people/5xp9hs/mr-daniel-hobson

Stefano Stramigioli: https://people.utwente.nl/s.stramigioli

Frank 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_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

PhD thesis: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=H5eLRq4AAAAJ&cstart=20&pagesize=80&sortby=pubdate&citation_for_view=H5eLRq4AAAAJ:2osOgNQ5qMEC

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

In this episode I interview Jonathan Mayo Maldonado abouthis work on applying the behavioural framework to modelling and controllingswitched systems, as well as applying data-driven control to power systems!

You can engage with the podcast on

BlueSky: 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

PhD

PhD thesis: https://eprints.soton.ac.uk/383678/

Switched linear differential systems: https://arxiv.org/pdf/1303.0308

Dissipative switched linear differential systems: https://eprints.soton.ac.uk/386199/1/DissipativeSLDS-Rev5.pdf

DC-DC converters

Power shaping control: https://www.researchgate.net/publication/344671509_Power_shaping_control_of_DC-DC_converters_with_constant_power_loads

Paolo 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_Models

Episode with Chris on Non-minimum phase ILC: https://open.spotify.com/episode/0hLqV5hv5OeQO3gOE6aU9c

Direct 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_Converters

Enrique Garza Arias PhD thesis: https://repositorio.tec.mx/items/6dfd5498-d0d4-417c-9e33-afb75930710a

Data-driven control

Active and reactive power analogy: https://www.youtube.com/watch?v=Tv_7XWf96gg

Data-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 questions

Advice from a young scientist to younger scientists article:https://medium.com/@jonathanmayo_75536/advice-from-a-young-scientist-to-younger-scientists-74d9aaf2d2f2

Arjan van der schafft: https://www.math.rug.nl/~arjan/index.html

Johann Kolar: https://pes.ee.ethz.ch/the-institute/People/prof-kolar2.html

Konstantinos 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 engage with the podcast on

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/

Or email me at lhodginscontrol@gmail.com

Paolo Rapisarda: https://www.southampton.ac.uk/people/5x2hb9/professor-paolo-rapisarda

Introduction

State maps for linear systems: https://eprints.soton.ac.uk/264646/1/State_maps.pdf

Harry Trentelman: https://research.rug.nl/en/persons/harry-trentelman

Jan Willems: https://homes.esat.kuleuven.be/~sistawww/smc/jwillems/

PhD thesis: https://research.rug.nl/en/publications/linear-differential-systems-2

Behavioural systems

Epic Jan Willems behavioural systems paper: https://skoge.folk.ntnu.no/prost/proceedings/cpc6-jan2002/willems.pdf

State maps

LTV paper:https://eprints.soton.ac.uk/457114/1/State_for_linear_discrete_time_varying_systems.pdf

Leibnitz rule: https://www.cuemath.com/calculus/leibniz-rule/

Dissipativity

Jan Willem’s paper: https://link.springer.com/article/10.1007/bf00276493

Jan Willem’s optimal control paper: https://ieeexplore.ieee.org/abstract/document/1099831

Quadratic differential forms: https://epubs.siam.org/doi/10.1137/S0363012996303062

Balancing

Siep Weiland: https://ieeexplore.ieee.org/author/37301202100

Keith Glover: https://www.eng.cam.ac.uk/profiles/kg103

H-infinity model order reduction: https://ieeexplore.ieee.org/document/701085

1980 Moore balancing paper: https://ieeexplore.ieee.org/document/1102568

Kalman decomposition: https://en.wikipedia.org/wiki/Kalman_decomposition

Arjan van der Schaft: https://scholar.google.nl/citations?user=BIPifjAAAAAJ&hl=en

Hamiltonian systems: https://www.unige.ch/~hairer/poly_geoint/week1.pdf

Port Hamiltonianity:https://www.annualreviews.org/content/journals/10.1146/annurev-control-081219-092250

Jacqueline Scherpen: https://research.rug.nl/en/persons/jacqueline-scherpen

Balancing of Port-Hamiltonian systems: https://research.rug.nl/files/2999949/2003ProcIFACWorkshopLHMNCLopezlena.pdf

Balancing for non-linear systems: https://research.rug.nl/files/3318296/1993ProcECCScherpen.pdf

Fundamental lemma

Ivan Markovski: https://scholar.google.com/citations?user=qSl_3FQAAAAJ&hl=en

Continuous-time work: https://www.sciencedirect.com/science/article/pii/S016769112400238X

Chebychev polynomials: https://mathworld.wolfram.com/ChebyshevPolynomialoftheFirstKind.html

Kanat Camblibel: https://scholar.google.com/citations?user=aeWjKPcAAAAJ&hl=en

Sufficient condition modification of Willems’s lemma: https://arxiv.org/abs/2405.18962

Experimental implementation: https://arxiv.org/abs/2407.12509

Data-driven control

Data-driven ILC:https://ieeexplore.ieee.org/abstract/document/10384133

DeePC: https://arxiv.org/abs/1811.05890

Jonathan Mayo-Maldonado: https://scholar.google.co.uk/citations?user=W-vnMBwAAAAJ&hl=en

Extra questions

Aizerman’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/

References

Sabine: https://hauertlab.com/

Podcasts/ TEDx talks

https://www.youtube.com/watch?v=sn1gmcs-HXU

https://www.youtube.com/watch?v=NBbYuzhxpE0

http://youtube.com/watch?v=vvknnV6325Q

Robot Talk: https://open.spotify.com/episode/0JWPnKQmwTQdM1K7247jkq

Complexity: https://open.spotify.com/episode/6nfcUpB3wesHqXP5XzSPAl

Engenius: https://open.spotify.com/episode/34jert4EQGBVrQBfS4OfxW

Research

Invertebrate inspiration review paper: https://iopscience.iop.org/article/10.1088/1748-3190/acc223/meta

Centipede control inspiration: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0171421

David Garzon-Ramos: https://dgarzonramos.com/

Puzzle/ Problem/mess paper: https://arxiv.org/abs/2410.22478

Dario Floriano: https://people.epfl.ch/dario.floreano?lang=en

Manuela Veloso: https://engineering.cmu.edu/directory/bios/veloso-manuela.html

PhD

PhD thesis: https://infoscience.epfl.ch/entities/publication/dbb9fe40-930c-4e54-a5c0-10b62ebb6d1c
Robot swarm video: https://www.youtube.com/watch?v=n_qRuHkD5lc

Onboard evolution of swarm behaviours: https://advanced.onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.201900031

Supervisory control papers: https://research-information.bris.ac.uk/files/229980063/Paper_SWARM2019.pdf

MAP-elites algorithm: https://link.springer.com/chapter/10.1007/978-3-319-77538-8_49

Morphogenesis

James Sharpe: https://www.embl.org/people/person/james-sharpe/

Original paper: https://www.science.org/doi/full/10.1126/scirobotics.aau9178

Controllability of morphogenesis: https://research-information.bris.ac.uk/en/publications/toward-controllable-morphogenesis-in-large-robot-swarms

Controllability in control theory: https://en.wikipedia.org/wiki/Controllability

Steve Brunton controllability Gramian video: https://www.youtube.com/watch?v=ZNHx62HbKNA

Alan Turing reaction diffusion paper: https://www.dna.caltech.edu/courses/cs191/paperscs191/turing.pdf

Nanoswarms

Sangita Bhatia: https://ki.mit.edu/people/faculty/sangeeta-bhatia

Nanoswarm 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

Outreach

AIhub.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 questions

Radhika 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

1. Thesis: Dr. Zehor Belkhatir's thesis explores key aspects of fractional systems in biomedical applications.
2. Fractional order estimation: ScienceDirect article.
3. Cardiovascular system ECC paper: IEEE Explore paper.
4. Hybrid dynamical systems: Springer chapter.
5. Kevin Aquino: Google Scholar profile.
6. Fractional differential equations textbook: Mathematics in Science and Engineering.
7. Fractional calculus in biomedical engineering book: Begell House publication.
8. Fractional Robust Control Design book: Springer book.
9. Fractional order Matlab toolbox: MathWorks resource.
10. Fractional Youla-Kucera parameterisation: (Details forthcoming).
11. Allen Tannenbaum: Profile.
12. Jeff Shamma: Profile.
13. Larry Norton: MSKCC Profile.
14. Cancer modelling (and MPC) paper: Google Scholar citation.
15. Impulse response cancer control: Google Scholar citation.
16. 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.

Contact me at: lgh1g19@soton.ac.uk

We have an Instagram now!

References:

• PhD Thesis
• National Research Council of Canada Aerospace Research Centre
• Nonlinear High Gain Feedback
• LMIs in Control
• AW for Model-Reference Adaptive Control
• AW for ILC
• Anti-Windup Review
• Two-Stage Anti-Windup
• Anti-Windup in Anticipation of Saturation (Zongli Lin)
• Matt Turner
• Chris Richards
• Aizerman Conjecture
• Ian Postlethwaite
• Jorge Sofrony
• Murray Kerr
• Oliver Brieger
• Circle and Popov Criterion
• Khalil Nonlinear Control Book
• Zames and Sakkary Gap Metric Paper
• George Zames
• Zames-Falb Multipliers Summary Article
• O’Shear
• Zames-Falb Multipliers: Don’t Panic
• Early Neural Network Work (with Guido Hermann)
• Additional NN Research
• Ross Drummond
• ReLU Network Analysis Using Lur’e Systems
• Antonis Papachristodolou
• Exploiting Sparsity in Neural Networks
• Robust Control Paper
• Malcolm Smith
• Glenn Vinnicombe

Other cool neural network/ control papers

• Synthesis of MPC Algorithms that Robustly Approximate Neural Networks
• Shrinking Down Neural Networks Using Inspiration from Control
• Designing 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.

• Contact Chris at ctf1@soton.ac.uk
• Contact me at lgh1g19@soton.ac.uk

References:

• 1984 ILC paper
• Early stroke rehabilitation work
• RC for tremor suppression
• ILC and RC design paper
• Multiple model adaptive control for FES
• Robust control of Hammerstein systems
• Electrode array control (1)
• Electrode array control (2)
• FES control review paper
• Thoracic pressure control paper

People Chris worked with throughout his PhD:

• Paul Lewin
• Eric Rogers
• Jari Hatonen
• David Owens
• James Ratcliffe

Rehabilitation robotics folks:

• Jane Burridge
• Igo Krebs
• Neville Hogan
• Jonathan Rossiter (Cool video)

Tremor suppression:

• Kevin Moore
• Trish Sampson

Multiple model ILC:

• Mark French
• Dominic Buchstaller
• Oli Brend
• Abeer Al-Gburi

Electrode arrays:

• Thierry Keller
• FATRONIK-Tecnalia research centre
• Russel Torah
• Kai Yang
• m.c. Schraefel

Biomedical contexts of ILC:

• Mike Thompson
• Rujie Sun

EDI:

• Reena Pau
• Dorota Sikorska

Other projects:

• Haiming Liu
• Rafael 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!)