Episodes
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In this episode I got to speak with the fantastic Gioele Zardini about his work on the co-design framework, a fascinating framework used to optimise large interconnected systems. We cover the theoretical background of this, intuition behind it, and a ton of different applications where it’s useful, as well as discussing exciting open questions in the field!
Find the transcript at: https://docs.google.com/document/d/1XPZr9jP4Lphskkw-SiM8h-x1kp7LROqZ243S6zA7EsY/edit?usp=sharing
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
Gioele Zardini: https://zardini.mit.edu/
PhD thesis: https://www.research-collection.ethz.ch/entities/publication/d7c08dd5-bf96-4c1f-a744-5e751f0f44a5
PhDs in control interview: https://ieeexplore.ieee.org/document/10555200
Emilio Frazzoli: https://idsc.ethz.ch/research-frazzoli/people/person-detail.frazzoli.html
Andrea Cenci: https://nccr-automation.ch/about/people/andrea-censi
Marco Pavone: https://profiles.stanford.edu/marco-pavone
NuTonomy: https://en.wikipedia.org/wiki/NuTonomy(current site: https://motional.com/)
Brad Nelson: https://msrl.ethz.ch/the-lab/team/Brad_Nelson.html
David Sacramuza: https://rpg.ifi.uzh.ch/people_scaramuzza.html
Yujun Huang: https://zardini.mit.edu/people/yujun-huang/
Uncertainty in co-design paper: https://arxiv.org/pdf/2504.02766
Background refs on category theory:
David Spivak: https://dspivak.net/
Brendan Fong: http://brendanfong.com/Gioele's work in progress book: https://storage.zuper.ai/sync/ACT4E/ACT4E/alphubel-prod/build/last/build-public/ACT4E-public.pdf
YouTube talk: https://www.youtube.com/watch?v=BmAz6fEPa2o
Gioele's course: https://zardini.mit.edu/act4ed/
MIT applied category theory course: https://ocw.mit.edu/courses/18-s097-applied-category-theory-january-iap-2019/
Seven sketches in compositionality: http://brendanfong.com/fong_spivak_an_invitation.pdf
LQG control co-design paper: https://ieeexplore.ieee.org/abstract/document/9654960
LQG background: https://www.youtube.com/watch?v=H4_hFazBGxU
https://www.youtube.com/watch?v=E_RDCFOlJx4Aaron Ames: http://ames.caltech.edu/
Nikolai Matni: https://nikolaimatni.github.io/
John Doyle: https://www.eas.caltech.edu/people/doyle
CDC episode: https://open.spotify.com/episode/3ZUcm3gVHKILDEyDjQtXvxBraess’s paradox: https://resources.mpi-inf.mpg.de/departments/d1/teaching/ws12/ct/Braess-paradox.pdf
Co-design of mobility-on-demand systems: https://arxiv.org/pdf/2003.04739
Formula One co-design papers: https://www.research-collection.ethz.ch/entities/publication/bd65f78e-f19a-4469-a379-d4b219893a33https://CoffeeControlLinks.short.gy/JQmudB
Co-design of soft robotics: https://arxiv.org/pdf/2505.03761
Cosimo Della Santina inControl episode: https://CoffeeControlLinks.short.gy/LPNORz
Games with partially-ordered objectives: https://arxiv.org/pdf/2111.07099
Mingjia He: https://mingjia-he.github.io/
Paper on hierarchical games: https://arxiv.org/pdf/2508.12059
Game theory episode: https://open.spotify.com/episode/2xrwua7U2HfSW3sxY6BnRU
Jeff Shamma inControl episode: https://www.incontrolpodcast.com/1632769/episodes/18482182-ep40-jeff-shamma-gain-scheduling-nonlinear-control-learning-dissipativity-in-games-jiu-jitsu
Vincent Abbott: https://zardini.mit.edu/people/vincent-abbott/
Alberto Sangiovanni-Vincentelli: https://www2.eecs.berkeley.edu/Faculty/Homepages/sangiovanni-vicentelli.html
InControl episodes: https://www.incontrolpodcast.com/1632769/episodes/14692449-ep21-alberto-sangiovanni-vincentelli-part-i-classics-eda-logic-synthesis-spice-intel-x386-cadence-synopsis-platform-based-design
https://www.incontrolpodcast.com/1632769/episodes/14882529-ep22-alberto-sangiovanni-vincentelli-part-ii-cyberphysical-and-hybrid-systems-contracts-chiplets-models-of-computation-time-innovative-ecosystems-biobricks-neuromorphics
John Doyle: https://www.eas.caltech.edu/people/doyle
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In this episode I have a lovely conversation with Dr Barbara Franci about her research into game theory, exploring both theoretical concepts (such as variational inequalities, forwards-backwards algorithms, and stochastic Nash equilibrium-seeking problems) and practical applications, including resource allocation, energy management, and generative adversarial networks!
You can find the transcript at: https://docs.google.com/document/d/1h9AbCPzzlt7ggNOGx3bK3pwSaCUo__LtYzvdJ-5wqYw/edit?usp=sharing
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
Barbara Franci: https://www.maastrichtuniversity.nl/b-franci
PhD thesis: https://tesidottorato.depositolegale.it/bitstream/20.500.14242/198173/1/FRANCI%20Tesi2.pdf
More background on evolutionary games: https://users.ssc.wisc.edu/~whs/teaching/805/handbook.pdf
Jeff Shamma inConctrol episode: https://www.incontrolpodcast.com/1632769/episodes/18482182-ep40-jeff-shamma-gain-scheduling-nonlinear-control-learning-dissipativity-in-games-jiu-jitsu
Wisdom of a crowd paper: https://epubs.siam.org/doi/abs/10.1137/18M1232267
Francesco Bullo: https://fbullo.github.io/
Original Galton paper: https://www.nature.com/articles/075450a0
Video on the Lagrangian: https://www.youtube.com/watch?v=GR4ff0dTLTw
Useful lecture notes on these concepts: https://www.mit.edu/~gfarina/notes/
Distributed forwards-backwards paper: https://ieeexplore.ieee.org/abstract/document/9309063
Extragradient paper: https://ieeexplore.ieee.org/abstract/document/11184508
Relaxed inertial forwards-backwards paper: https://ieeexplore.ieee.org/abstract/document/9682905
Professor Lacra Pavel: https://www.ece.utoronto.ca/people/pavel-l/
Deterministic decoupling paper: https://www.researchgate.net/publication/330888828_An_operator_splitting_approach_for_distributed_generalized_Nash_equilibria_computation
Pseudo-monotone functions: https://www.researchgate.net/publication/225986571_Pseudomonotone_Operators_A_Survey_of_the_Theory_and_Its_Applications
Inertial gradient descent: https://www.youtube.com/watch?v=iudXf5n_3ro&t=60s
GANs paper: https://ieeexplore.ieee.org/abstract/document/9523601
Original Goodfellow paper: https://arxiv.org/abs/1406.2661
Partial information paper: https://www.sciencedirect.com/science/article/pii/S0005109821006300
Incorporating a bias: https://ieeexplore.ieee.org/abstract/document/10886508
Nash games with misleading information: https://ieeexplore.ieee.org/abstract/document/11008595
Evolutionary dynamics in distributed control: https://ieeexplore.ieee.org/document/7823106
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Missing episodes?
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In this bonus episode I explore the work of ten fascinating researchers that I met at the Meet the Faculty Candidates poster session at CDC last month. We cover a wide array of different areas, including data-driven methods, fault-tolerant control, biological systems, PDEs, distributed estimation and a whole lot more!
Correction: At ~5:20 I mention that Anju was able to characterize the strategies of the two communicating entities at the Nash equilibrium - In actual fact this is a Stackelberg equilibrium (Stackelberg games involve players acting sequentially, taking either a leader or follower role)
You can view the transcript for this episode at: https://docs.google.com/document/d/15Tf4ORHPI5Thbs-nA9DQTSu87TKbYni9JJN2UXqn5kU/edit?usp=sharing
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/
Links and references
Amy Strong: https://bridgeman.pratt.duke.edu/people/amy-strong
Paper on data-driven invariance: https://arxiv.org/pdf/2511.19231
Anju Anand: https://sites.google.com/binghamton.edu/anjuanand
Strategic quantisation: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10960399
Incorporating privacy into the objective: https://arxiv.org/pdf/2506.06321
Brian Block: https://mae.osu.edu/people/block.168
Control of PDE traffic flow: https://arxiv.org/pdf/2512.04823
Declan Jagt: https://search.asu.edu/profile/3729730
Stability analysis of coupled multivariate PDEs: https://arxiv.org/pdf/2508.14840
Scalar quadratic PDEs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10384073
PIETOOLS software: https://control.asu.edu/pietools/pietools
Hamza El-Kebir: https://www.linkedin.com/in/hamza-el-kebir/
Control authority degradation paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10354437
Sensor and actuator degradation: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10521243
Electrosurgery paper: https://royalsocietypublishing.org/rsif/article/21/210/20230420/90578/Heat-conduction-in-live-tissue-during
Electrostatic signed distance functions: https://arxiv.org/pdf/2508.12554
Kirill Sechkar: https://engbio.ox.ac.uk/people/kirill-sechkar
Control of genetic circuits paper: https://www.biorxiv.org/content/10.1101/2025.04.01.646303v2.full.pdf
Nick Marios Kokolakis: https://www.linkedin.com/in/nick-marios-t-kokolakis-44717b164/
Pre-defined time RL paper: https://www.sciencedirect.com/science/article/abs/pii/S0005109825003152
Parth Paritosh: https://pptx.github.io/pparitosh/Estimating a subset of variables: https://arxiv.org/pdf/2312.01227
Privacy preserving paper: https://ieeexplore.ieee.org/abstract/document/11073227
Radoslaw Patelski: https://www.linkedin.com/in/radoslaw-patelski/?originalSubdomain=pl
Observers for hovercraft: https://ieeexplore.ieee.org/abstract/document/9874346
ADRC with parameter identification: https://ieeexplore.ieee.org/abstract/document/10345678
ADRC with adaptive input gain: https://www.sciencedirect.com/science/article/pii/S0019057825001089
Carmen Amo Alonso: https://camoalon.github.io/
Research overview: https://camoalon.github.io/research/
Comparing mixer blocks: https://arxiv.org/pdf/2405.15731
Intro to state space models in deep learning: https://arxiv.org/pdf/2403.16899
Combining generative AI with control in robotics: https://arxiv.org/pdf/2403.10762
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In this episode I bring my microphones with me to the conference of decision and control (CDC) where I talk to a load of interesting researchers about their recent work. Featuring discussion of a wide range of different topics, including reinforcement learning, control architecture, game theory, AI-human interaction, event-triggered control and a whole lot more!
You can view the episode transcript at: https://docs.google.com/document/d/1h6PdTd9xLTcJOGPx6TIkXOKPz_NGoS9_sA8CUvoZlx8/edit?usp=sharing
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/
CDC web-page: https://cdc2025.ieeecss.org/
Female influencers in control: https://www.control.lth.se/external-engagement/female-influencers-in-automatic-control/
Survey: https://docs.google.com/forms/d/e/1FAIpQLSe7VtNHI6bG8UBEoSGiAuVXNsmXSHlw8xG0LuMon2DVd0Pv0A/viewform
inControl episode: https://www.incontrolpodcast.com/1632769/episodes/18361436-ep39-female-influencers-in-control
Alessandro Abate: https://www.cs.ox.ac.uk/people/alessandro.abate/
Maegan Tucker: https://maegantucker.com/
Joe Moeller: https://joe-moeller.com/
Category theory blog: https://joe-moeller.com/hi/
Rodolphe Sepulchre: https://www.eng.cam.ac.uk/profiles/rs771
inControl episode: https://CoffeeControlLinks.short.gy/9HLW37
Spiking control of a snake: https://arxiv.org/pdf/2509.02968
Neuromorphic architecture: https://arxiv.org/pdf/2511.11924
Raj Velichete: https://ece.illinois.edu/about/directory/grad-students/rkv4
Vijeth Hebber: https://www.vijethhebbar.com/
John Doyle: https://www.eas.caltech.edu/people/doyle
InControl episodes: https://CoffeeControlLinks.short.gy/yx0IF5https://CoffeeControlLinks.short.gy/qtk0Le
Dimos Dimarogonas: https://people.kth.se/~dimos/
Plenary on formal verification for multi-agent systems: https://www.youtube.com/watch?v=5C3GSgVmxdo&t=1327s
Attacks on controlling multi-agent systems: https://ieeexplore-ieee-org.soton.idm.oclc.org/stamp/stamp.jsp?tp=&arnumber=11036540
ESC inspired by insect flapping: https://ieeexplore-ieee-org.soton.idm.oclc.org/stamp/stamp.jsp?tp=&arnumber=11006034
My CDC paper: https://pure.soton.ac.uk/admin/files/315205732/CDC2025_2_.pdf
Jorge Poveda: https://poveda.ucsd.edu/
Victoria Grushkovskaya: https://grushkovska.science/
Higher-order Lie bracket extremum-seeking: https://arxiv.org/pdf/2310.07092 https://arxiv.org/pdf/2504.01136
Azu Ozdaglar: https://asu.mit.edu/
Full video: https://www.youtube.com/watch?v=2DR37zdEKPw
Matt Turner: https://www.southampton.ac.uk/people/5y5nkg/professor-matthew-turner
Matt Turner episode: https://open.spotify.com/episode/5KLLOvbCjOkL0v8iXo84vt
Kemin Zhou: https://www.ece.lsu.edu/kemin/
Multiobjective complementary control: https://ieeexplore-ieee-org.soton.idm.oclc.org/document/10767397
Yujun Huang: https://zardini.mit.edu/people/yujun-huang/
Tyler Hanks: https://gataslab.org/members/tylerhanks
NextCom: https://sites.google.com/view/css-nextcomNextCom podcast episode: https://open.spotify.com/episode/7exZHRwVazI8AaHtiSMmE8
Csaba Szepesvari: https://sites.ualberta.ca/~szepesva/
Friday plenary talk: https://www.youtube.com/watch?v=-W2IrHyuSjU
Fengyu Yue: https://www.linkedin.com/in/fengyu-yue-8849a6314/?originalSubdomain=il
Pio Ong: https://pioong.github.io/
Jacqueline Scherpen: https://www.rug.nl/staff/j.m.a.scherpen/?lang=en
Bode lecture: https://www.youtube.com/watch?v=-W2IrHyuSjU (Skip to 4:52:46)
Alberto Padoan episode on model order reduction: https://open.spotify.com/episode/1kwlnlQqtID1naRcyLL12O
Meggie Maschner: https://www.linkedin.com/in/meggie-marschner-445634236/?originalSubdomain=de
Brooks Butler: https://sites.google.com/view/brooks-butler
Mauro Salazar: https://www.tue.nl/en/research/researchers/mauro-salazar
Design of smart cities: https://www.youtube.com/watch?v=-W2IrHyuSjU (Skip to 8:32:49)
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In this episode I talk to some wonderful members of IEEEcontrol systems society (CSS) NextCom committee about their work fostering inclusivity and belonging within CSS, as well as empowering the next generation of leaders within control. We also cover how you can be a part of this!
You can find the transcript at: https://docs.google.com/document/d/186arBxVLdcpHUCT9djgXQ7IMVvX5SLsMk0LmnzOLbRY/edit?usp=sharing
Fill in this leadership interest survey if you’d like to getinvolved: https://docs.google.com/forms/d/e/1FAIpQLSc-9qK13qYOSylyo-L-s8LvIYjd9bUmWlpd7zj2C7cxDASK-Q/viewform?usp=sharing&ouid=113511961640315346198
Slack channel: https://join.slack.com/t/next-comworkspace/shared_invite/zt-3kz84ooc6-iLeTIhTKs5oMwJ8ccjTZxw(This link will time-out after a little while – if you find it’s not working you can contract me or one of the other committee members and we can add you directly!)
Links and references
NextCom webpage: https://sites.google.com/view/css-nextcom
Brooks Butler: https://sites.google.com/view/brooks-butler
Email: [email protected]
Anastasia Bizyaeva: https://anastasiabzv.github.io/
Email: [email protected]
Phil E Paré: https://sites.google.com/view/philpare
Umar Niazi: https://sites.google.com/view/umarniazi/
Urmee Maitra: https://urmeemaitra.github.io/
Carina Veil: https://profiles.stanford.edu/carina-veil
Pio Ong: https://pioong.github.io/
Leonardo Toso: https://leotoso.github.io/
ECC episode: https://open.spotify.com/episode/4PAlFzgSoLM6andaXEWB8e
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This month I got to interview Sophie Schirmer about herfascinating work on quantum control, including notions such as controllability and realisability, different types of quantum states (including pure, mixed, and dark states), comparison between different approaches to optimisation, and the quantum phenomena inside MRI scanners!
You can find the transcript at: https://docs.google.com/document/d/1l0TFtckp7zEKCG0wdMHY0nySptrzbkV9ohQExa6ykGg/edit?usp=sharing
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
Sophie’s thesis: https://scholarsbank.uoregon.edu/items/63c4205b-9a0d-4622-833f-377f975c8cb3
Herschel Rabitz papers: https://pubs.aip.org/aip/acp/article-abstract/334/1/160/783416/Control-of-quantum-dynamics-The-dream-is-alive?redirectedFrom=fulltext
https://www.science.org/doi/10.1126/science.259.5101.1581
Control paradigms for quantum engineering: https://arxiv.org/abs/0805.2890
Energy landscape shaping as feedback control: https://ieeexplore.ieee.org/document/8119551
Kinematic bounds paper: https://journals.aps.org/pra/abstract/10.1103/PhysRevA.58.2684
Dynamic realisability of systems that aren’t completelycontrollable: https://ieeexplore.ieee.org/abstract/document/912046
Types of controllability: https://iopscience.iop.org/article/10.1088/0305-4470/35/18/309
More detail in this paper: https://arxiv.org/abs/quant-ph/0110171
Hilbert spaces: https://www.math.ucdavis.edu/~hunter/book/ch6.pdf
Pure vs mixed states: https://medium.com/@emilmarinov/pure-mixed-and-entangled-quantum-states-84e8a4a8dd16
Controllability with a single actuator: https://arxiv.org/pdf/0801.0721
Dark states and their enlightenment: https://arxiv.org/abs/1003.4290
Quantum gravity lecture: https://podcasts.ox.ac.uk/oxford-mathematics-public-lectures-carlo-rovelli-spin-networks-quantum-structure-spacetime-penroses
Incorporating encoding into quantum system design: https://journals.aps.org/pra/pdf/10.1103/PhysRevA.109.042408
Ilja Kuprov: https://www.southampton.ac.uk/people/5x97wv/professor-ilya-kuprov
Beyondpiecewise constant controls: https://arxiv.org/pdf/2303.09458
Lyaounov functions: https://underactuated.mit.edu/lyapunov.html
p.s. I would highly recommend the inControl episode on AleksandrLyapunov: https://www.incontrolpodcast.com/1632769/episodes/18019902-ep37-a-m-lyapunov-the-general-problem-of-stability-of-motion
Control Lyapunov functions: https://stanford.edu/class/ee363/lectures/io-lyap.pdf
Lyapunov control of quantum systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5415539
Entanglement generation: https://journals.aps.org/pra/abstract/10.1103/PhysRevA.80.042305
Bell states: https://en.wikipedia.org/wiki/Bell_state
Edmund Jonckheere: https://ee.usc.edu/~jonckhee/
SSV paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9682796
Robust control of open quantum systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9792196
Entanglement generation in a lossy cavity: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9992337
Quantum reservoir engineering: https://www.sciencedirect.com/science/article/pii/S1474667016316962
Energy landscape shaping paper: https://iopscience.iop.org/article/10.1088/1367-2630/addc0d/pdf
Schrodinger’s cat review paper: https://link.springer.com/article/10.1140/epjd/e2015-60464-1
Feynman’s lectures on physics: https://www.feynmanlectures.caltech.edu/
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In this month’s episode got to talk to Dr Carrie Weidner allabout controlling quantum systems! I find out what the control objective is forthese systems, how to characterise their robustness (or at least attempt to),how easy it is to apply this to practical systems, and a lot more besides.
You can find the transcript at: https://docs.google.com/document/d/1aixaD-P6R6jFDjS4Zp6nJ2n5ZHPfbWKYCue2v2_ZCVU/edit?usp=sharing
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
PhD thesis: https://jila.colorado.edu/sites/default/files/2019-03/Weidner_PhD_final.pdf
Sabine Hauert episode: https://open.spotify.com/episode/65iwMh2NstKqXvfATpzfm4
Sabine episode transcript: https://docs.google.com/document/d/12t_8k9LRckeGB--YVDS0XWnOeLX8sQcY3njA7jBCj1o/edit?usp=sharing
Carrie’s quantum control survey: https://arxiv.org/pdf/2401.00294
Sophie Shermer: https://www.swansea.ac.uk/staff/s.schirmer/
Frank Langbein: https://langbein.org/
Edmond Jonckheere: https://ee.usc.edu/~jonckhee/Sean O’Neil: https://scholar.google.com/citations?user=250lKHEAAAAJ&hl=en
Phila Rembold: https://qusco-itn.eu/portfolio_page/phila-rembold-2/
Bases in quantum control: https://arxiv.org/pdf/2405.20889Nelder-Mead optmisation: http://www.scholarpedia.org/article/Nelder-Mead_algorithm#Advantages_and_disadvantageshttps://brandewinder.com/2022/03/31/breaking-down-Nelder-Mead/
Ronnie Kosloff: https://www.humboldt-foundation.de/en/connect/explore-the-humboldt-network/singleview/1211067/prof-dr-ronnie-kosloff
Belavkin-Carmichael quantum filter: https://arxiv.org/abs/quant-ph/0510028
Luenburg filter papers: https://arxiv.org/abs/1609.06454
https://ieeexplore.ieee.org/document/6426181
Non-Markovian systems papers: https://iopscience.iop.org/article/10.1088/1367-2630/14/7/073023
https://arxiv.org/abs/2408.09637
Christiane Koch: https://atominnen.at/empower/interviews/382-christiane-koch
Open quantum systems paper: https://iopscience.iop.org/article/10.1088/0953-8984/28/21/213001
Carrie’s mu analysis paper: https://arxiv.org/pdf/2207.12385
Randa Herzallah: https://warwick.ac.uk/fac/sci/maths/people/staff/herzallah/
Paper on quantum optimal control: https://www.tandfonline.com/doi/pdf/10.1080/00207179.2024.2342939
Quantum thermodynamics paper: https://journals.aps.org/pra/abstract/10.1103/PhysRevA.98.012139
Irtaza Khalid: https://profiles.cardiff.ac.uk/staff/khalidmi
Robustness-infidelity metric paper: https://journals.aps.org/pra/pdf/10.1103/PhysRevA.107.032606
Time-domain log-sensitivity paper: https://arxiv.org/pdf/2210.15783
Unifying log-sensitivity and RIM: https://arxiv.org/pdf/2303.09518
Robust quantum control papers:
https://arxiv.org/pdf/2110.05372
https://arxiv.org/pdf/2008.13691
Energy landscape shaping paper: https://iopscience.iop.org/article/10.1088/1367-2630/addc0d
Jacob Sherson: https://jacobsherson.com/
David DiVincenzo: https://qutech.nl/person/david-divincenzo/
Enrico Fermi: https://www.dpma.de/english/our_office/publications/milestones/greatinventors/enricofermi/index.html
Physical review letters paper: https://link.aps.org/accepted/10.1103/PhysRevLett.120.263201
Point spread modification paper: https://arxiv.org/pdf/2312.05341
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In this episode I sit down with Dr Andy Lawrence and learn all about the Engineering and Physical Sciences Research Council (EPSRC), including his top tips on successful grant applications, advice for not getting discouraged by rejected submissions, how to build successful collaborations with industry, and a lot more besides!
You can find the transcript for this episode at: https://docs.google.com/document/d/1FxscV2YjbfeI_u26ETkA25hMwGVmJojHdV5zj7J7wyE/edit?usp=sharing
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
Andy: https://www.linkedin.com/in/andy-lawrence-7ab0361a/
UKRI: https://www.ukri.org/
EPSRC: https://www.ukri.org/councils/epsrc/Standard mode open funding: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/standard-research/
New investigator awards: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/new-investigator-award/
Network grants: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/network-grants/
Travel grants: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/international-funding/overseas-travel-grants/
Program grants: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/programme-grants/
Lyapunov theory: https://www.cds.caltech.edu/~murray/courses/cds101/fa02/caltech/mls93-lyap.pdf
Kalman filtering: https://thekalmanfilter.com/kalman-filter-explained-simply/
https://kalmanfilter.net/
Non-compressible haemorrhage funding call: https://www.ukri.org/opportunity/novel-technology-for-intervening-in-non-compressible-haemorrhage/
General multidisciplinary scheme: https://www.ukri.org/what-we-do/browse-our-areas-of-investment-and-support/ukri-cross-research-council-responsive-mode-pilot-scheme/
Details and support regarding EPSRC remit: https://www.ukri.org/councils/epsrc/guidance-for-applicants/epsrc-remit/
UKRI funding service: https://www.ukri.org/apply-for-funding/develop-your-application/how-applicants-use-the-ukri-funding-service/
Peer review college: https://www.ukri.org/councils/epsrc/guidance-for-reviewers/peer-review-college/
Nature-based engineering funding call: https://www.ukri.org/opportunity/unlocking-the-full-potential-of-nature-based-engineering/
UKRI remit agreement: https://www.ukri.org/apply-for-funding/get-support-for-your-project/if-your-research-spans-different-disciplines/
Robotic mandibles project: https://www.ukri.org/news/copying-ants-could-help-robots-get-a-better-grip/
https://arxiv.org/abs/2312.05364
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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/1811.05890CDC/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
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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
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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
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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/
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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/0201398230Maciejowski 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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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 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 [email protected]
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/
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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=sharing
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 [email protected]
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
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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_qRuHkD5lcOnboard 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
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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 ControlFES work
Coffee and Control Episode with Chris Freeman Professor Ken Hunt FES for Paraplegic Standing Adaptive PID Sliding Mode ControlFES muscle fatigue papers
Chapter 5 of this Thesis PubMed Paper 1 PubMed Paper 2 IEEE Explore Paper Fatigue reduction with soft roboticsGeometric control
Resources for Understanding Geometric Control Lecture Slides YouTube Video 6D Lie Groups Application to Spacecraft Time-Parameterized Motion PlanningControl of RTG cranes
Optimal Control and MPC Fuzzy Logic ControlElectroactive 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 fascinatingwork using fractional order systems to model the brain, as well as how controlcan 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: [email protected].uk
We 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 papers
Synthesis 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=sharing
Contact Chris at [email protected] me at [email protected].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 - Show more
