inControl

Alessandro Chiuso, a Professor at the University of Padova, dives into his fascinating journey from telecommunications to control engineering. He discusses the complexities of system identification and the transformative role of machine learning in this field. Alessandro highlights the balance between research and personal passion, sharing his experiences as a semi-professional skier. He also emphasizes the importance of curiosity and perseverance for academic success, encouraging future students to embrace challenges in their paths.

In this episode, our guest is Ben Recht. Ben is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley.  We discuss several topics, including his research trajectory, Ben's tour of reinforcement learning, and his passion for music, among others. Check out Ben's website here: http://people.eecs.berkeley.edu/~brecht/Outline00:00 - Intro 01:01 - Ben predicts the birth of "inControl"02:40 - Personal research trajectory06:55 - How and why did you dive into control theory?08:43 - Influential figures who shaped Ben's research13:50 -  The "argmin" blog &  myth busting27:43 - Ben's tour of reinforcement learning45:18 - Future challenges for control52:06 - Biological origin of learning58:24 - "This or that" game1:02:54 - Questions from the audience1:14:51 - What would you do if you were a student today?1:17:00 - Ben's band: "the fun years"Episode linksBen's website: http://people.eecs.berkeley.edu/~brecht/argmin: http://www.argmin.net/the fun years: http://thefunyears.com/A tour of reinforcement learning: https://arxiv.org/abs/1806.09460Patterns, predictions and actions: http://mlstory.org/System level synthesis: https://arxiv.org/abs/1904.01634 Aizerman's conjecture: https://en.wikipedia.org/wiki/Aizerman%27s_conjectureSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

This episode features an interview with Florian Dörfler, who is an Associate Professor at the Automatic Control Laboratory at ETH Zürich, Switzerland.  We discuss several topics, including his personal research trajectory, the influence of machine learning on control, future challenges in control theory, among others. Check out Florian's website here: http://people.ee.ethz.ch/~floriand/Outline00:00 - Intro 01:03 - Personal research trajectory05:57 - Influence of machine learning on control07:52 - Why doing research in control?09:51 - What would you change in control? 11:36 - Where is the field heading?14:20 - Favourite theorem in control theory16:20 - Vision: what would you like to achieve?17:03 - Influential figures19:17 - Sociology and control21:23 - What would you do if you were a student today?Episode linksFlorian's website: http://people.ee.ethz.ch/~floriand/Gerschgorin theorem: https://en.wikipedia.org/wiki/Gershgorin_circle_theoremSynchronization paper: https://www.pnas.org/doi/abs/10.1073/pnas.1212134110Hamming - "A stroke of genius": https://www.mccurley.org/advice/hamming_advice.html Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

This episode breaks the ice with a bit of the pre-history of control theory. We discuss three iconic ancestors of the science of feedback, including water clocks developed by Ktesibios, the earliest known thermostat,  and governors, a class of mechanical devices,  which,  without exaggeration, have enabled the first industrial Revolution in Britain.Outline00:00 -Intro 01:32 - Ktesibios06:15 - Cornelis Drebble11:55 - GovernorsEpisode linksO. Mayr - The origins of feedback controlK. Kelly - Out of ControlKtesibioshttps://en.wikipedia.org/wiki/CtesibiusDrebblehttps://en.wikipedia.org/wiki/Cornelis_Drebbelhttps://nautil.us/issue/12/feedback/the-vulgar-mechanic-and-his-magical-ovenhttps://sites.google.com/site/ukdrebbel/GovernorsJ.C. Maxwell, “On Governors,”Proc. of the Royal Society of London, vol. 16, pp. 270-283, 1868.S.Bennett- A History of Control Engineering 1800-1930Special issue on control education - The United Kingdom, by M.C. Smith, IEEE Control Systems Magazine, pp. 51-56, April 1996 (check also here).  Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.