『Coffee and Control』のカバーアート

Coffee and Control

Coffee and Control

著者: Lucy Hodgins
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概要

Podcast in which I interview fascinating people from within the world of control theory/ control engineering. Primarily aimed at PhD/masters students but can hopefully be enjoyed by anyone with an interest in control. New episodes released monthlyLucy Hodgins 数学 科学
エピソード
  • Gioele Zardini (Engineering Trade-offs and Co-design)
    2026/03/01
    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=sharingFollow 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/ ReferencesGioele Zardini: https://zardini.mit.edu/PhD thesis: https://www.research-collection.ethz.ch/entities/publication/d7c08dd5-bf96-4c1f-a744-5e751f0f44a5PhDs in control interview: https://ieeexplore.ieee.org/document/10555200Emilio Frazzoli: https://idsc.ethz.ch/research-frazzoli/people/person-detail.frazzoli.htmlAndrea Cenci: https://nccr-automation.ch/about/people/andrea-censiMarco Pavone: https://profiles.stanford.edu/marco-pavoneNuTonomy: https://en.wikipedia.org/wiki/NuTonomy(current site: https://motional.com/)Brad Nelson: https://msrl.ethz.ch/the-lab/team/Brad_Nelson.htmlDavid Sacramuza: https://rpg.ifi.uzh.ch/people_scaramuzza.htmlYujun 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.pdfYouTube talk: https://www.youtube.com/watch?v=BmAz6fEPa2oGioele'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/9654960LQG background: https://www.youtube.com/watch?v=H4_hFazBGxUhttps://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/doyleCDC episode: https://open.spotify.com/episode/3ZUcm3gVHKILDEyDjQtXvx Braess’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/JQmudBCo-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/2xrwua7U2HfSW3sxY6BnRUJeff Shamma inControl episode: https://www.incontrolpodcast.com/1632769/episodes/18482182-ep40-jeff-shamma-gain-scheduling-nonlinear-control-learning-dissipativity-in-games-jiu-jitsuVincent Abbott: https://zardini.mit.edu/people/vincent-abbott/Alberto Sangiovanni-Vincentelli: https://www2.eecs.berkeley.edu/Faculty/Homepages/sangiovanni-vicentelli.htmlInControl 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-designhttps://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-neuromorphicsJohn Doyle: https://www.eas.caltech.edu/people/doyle
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    1 時間 10 分
  • Barbara Franci (Game Theory and Resource Allocation)
    2026/02/01
    In this episode I have a lovely conversation with Dr BarbaraFranci about her research into game theory, exploring both theoretical concepts (such as variational inequalities, forwards-backwards algorithms, and stochasticNash 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/ ReferencesBarbara Franci: https://www.maastrichtuniversity.nl/b-franciPhD thesis: https://tesidottorato.depositolegale.it/bitstream/20.500.14242/198173/1/FRANCI%20Tesi2.pdfMore background on evolutionary games: https://users.ssc.wisc.edu/~whs/teaching/805/handbook.pdfJeff 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/10.1137/18M1232267Francesco Bullo: https://fbullo.github.io/Original Galton paper: https://www.nature.com/articles/075450a0 Video on the Lagrangian: https://www.youtube.com/watch?v=GR4ff0dTLTwUseful lecture notes on these concepts: https://www.mit.edu/~gfarina/notes/ Distributed forwards-backwards paper: https://ieeexplore.ieee.org/abstract/document/9309063Extragradient paper: https://ieeexplore.ieee.org/abstract/document/11184508Relaxed 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_computationPseudo-monotone functions: https://www.researchgate.net/publication/225986571_Pseudomonotone_Operators_A_Survey_of_the_Theory_and_Its_ApplicationsInertial gradient descent: https://www.youtube.com/watch?v=iudXf5n_3ro&t=60s GANs paper: https://ieeexplore.ieee.org/abstract/document/9523601Original Goodfellow paper: https://arxiv.org/abs/1406.2661 Partial information paper: https://www.sciencedirect.com/science/article/pii/S0005109821006300Incorporating a bias: https://ieeexplore.ieee.org/abstract/document/10886508Nash games with misleading information: https://ieeexplore.ieee.org/abstract/document/11008595Evolutionary dynamics in distributed control: https://ieeexplore.ieee.org/document/7823106
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    55 分
  • Meet the Faculty Candidates (Fascinating research from the CDC poster session)
    2026/01/09
    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=sharingFollow 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 referencesAmy Strong: https://bridgeman.pratt.duke.edu/people/amy-strongPaper on data-driven invariance: https://arxiv.org/pdf/2511.19231 Anju Anand: https://sites.google.com/binghamton.edu/anjuanandStrategic quantisation: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10960399Incorporating privacy into the objective: https://arxiv.org/pdf/2506.06321 Brian Block: https://mae.osu.edu/people/block.168Control of PDE traffic flow: https://arxiv.org/pdf/2512.04823 Declan Jagt: https://search.asu.edu/profile/3729730Stability analysis of coupled multivariate PDEs: https://arxiv.org/pdf/2508.14840 Scalar quadratic PDEs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10384073PIETOOLS software: https://control.asu.edu/pietools/pietoolsHamza El-Kebir: https://www.linkedin.com/in/hamza-el-kebir/Control authority degradation paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10354437Sensor and actuator degradation: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10521243Electrosurgery paper: https://royalsocietypublishing.org/rsif/article/21/210/20230420/90578/Heat-conduction-in-live-tissue-duringElectrostatic signed distance functions: https://arxiv.org/pdf/2508.12554 Kirill Sechkar: https://engbio.ox.ac.uk/people/kirill-sechkarControl 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/2312.01227Privacy preserving paper: https://ieeexplore.ieee.org/abstract/document/11073227Radoslaw Patelski: https://www.linkedin.com/in/radoslaw-patelski/?originalSubdomain=plObservers for hovercraft: https://ieeexplore.ieee.org/abstract/document/9874346ADRC with parameter identification: https://ieeexplore.ieee.org/abstract/document/10345678ADRC 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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    26 分
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