In this episode, our guest is Alessandro Chiuso. Alessandro is a Professor in the Department of Information Engineering at the University of Padova. The episode covers several topics, including Alessandro’s research trajectory, his work in system identification and vision, and his passion for skiing. Check out Alessandro’s website here: http://automatica.dei.unipd.it/people/chiuso.html Outline00:00 - Intro 01:51 - Research trajectory03:52 - Influential figures 08:20 - System identification17:07 - Regularized system identification 23:30 - Vision28:40 - Data-driven methods30:32 - Future of system identification33:40 - Question from the audience34:19 - Advice to future students35:50 - Skiing at a semi-professional levelEpisode linksGiorgio Picci's website: http://www.dei.unipd.it/~picci/Stefano Soatto's website: http://web.cs.ucla.edu/~soatto/ERNSI: https://people.kth.se/~bo/ERNSI/System identification: https://en.wikipedia.org/wiki/System_identificationRegularized system identification: https://tinyurl.com/yc7b7mytOrigin of “regularization”: https://tinyurl.com/y4jmk75fHirotugu Akaike: https://en.wikipedia.org/wiki/Hirotugu_AkaikeStructure from motion: https://tinyurl.com/35canfnxDynamic textures: https://tinyurl.com/28bdwhwmSkiing: https://tinyurl.com/2p8xzau6Podcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwfRSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featuredFacebook: https://www.facebook.com/InControl-podcast-114303337936834Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Patreon: https://www.patreon.com/incontrolpodcast/Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation», which you can check here: https://nccr-automation.ch/nccr-automationThe podcast benefits from the help of an incredibly talented and passionate team. Special thanks to A. Bastani, B. Sawicki, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio (P. Zumbrunnen), and mirrorlake studio (R. Frischknecht). The support of the Swiss National Science Foundation is also gratefully acknowledged. Music was composed by A New Element.Support the show
Erschienen: 12.07.2022
Dauer: 00:38:31
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). Podcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002 Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf RSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featuredFacebook: https://www.facebook.com/InControl-podcast-114303337936834Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Patreon: https://www.patreon.com/incontrolpodcast/Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation», which you can check here: https://nccr-automation.ch/nccr-automationThe podcast benefits from the help of an incredibly talented and passionate team. Special thanks to Arian Bastani, Benjamin Sawicki, Elise Cahard, Florian Dorfler, Frederik Banis, John Lygeros, ETH studio (Philipp Zumbrunnen), and mirrorlake studio (Roman Frischknecht). The support of the Swiss National Science Foundation is also gratefully acknowledged. Music was composed by A New Element.Support the show
Erschienen: 16.05.2022
Dauer: 00:19:08
Weitere Informationen zur Episode "ep1 - A brief prehistory of control theory"
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_conjecturePodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwfRSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featuredFacebook: https://www.facebook.com/InControl-podcast-114303337936834Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Patreon: https://www.patreon.com/incontrolpodcast/Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation», which you can check here:https://nccr-automation.ch/nccr-automationThe podcast benefits from the help of an incredibly talented and passionate team. Special thanks to Arian Bastani, Benjamin Sawicki, Elise Cahard, Florian Dorfler, Frederik Banis, John Lygeros, ETH studio (Philipp Zumbrunnen), and mirrorlake studio (Roman Frischknecht). The support of the Swiss National Science Foundation is also gratefully acknowledged. Music was composed by A New Element.Support the show
Erschienen: 16.05.2022
Dauer: 01:21:34
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 Podcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwfRSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featuredFacebook: https://www.facebook.com/InControl-podcast-114303337936834Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Patreon: https://www.patreon.com/incontrolpodcast/Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation», which you can check here:https://nccr-automation.ch/nccr-automationThe podcast benefits from the help of an incredibly talented and passionate team. Special thanks to Arian Bastani, Benjamin Sawicki, Elise Cahard, Florian Dorfler, Frederik Banis, John Lygeros, ETH studio (Philipp Zumbrunnen), and mirrorlake studio (Roman Frischknecht). The support of the Swiss National Science Foundation is also gratefully acknowledged. Music was composed by A New Element.Support the show
Erschienen: 16.05.2022
Dauer: 00:23:50
Weitere Informationen zur Episode "ep2 - Florian Dörfler: Power is nothing without control"
