ep10 - Stephen Boyd: Linear Matrix Inequalities, Convex Optimization, Disciplined Convex Programming

In this episode, our guest is Stephen Boyd. Stephen is the Samsung Professor in the School of Engineering at Stanford University. Join as we dive deep into control, convex optimization, linear matrix inequalities, disciplined convex programming, teaching styles, and... rock & roll sound! Outline 00:00 - Intro 07:48 - Early years at Berkeley 10:25 - The role of theory in practice 16:19 - On traveling (intellectually) 19:40 - Convex optimization 31:51 - On Linear Matrix Inequalities (LMIs) 29:57 - Convex Optimization Control Policies (COCPs) 50:20 - CVX and Disciplined Convex Programming (DCP) 58:14 - About AI 1:03:58 - Teaching 1:11:07 - Open source and publishing 1:15:13 - Future of control and advice to future students 1:20:08 - Outro Episode links Stephen’s website: https://tinyurl.com/yrmk6p2w CSM acceptance speech: https://tinyurl.com/43yhs583 L. Chua: https://tinyurl.com/k4zx4vya C. Desoer: https://tinyurl.com/4euxvcxx S. Sastry: https://tinyurl.com/2p9hfrha G. Dantzig: https://tinyurl.com/2s4m3jvz Simplex algorithm: https://tinyurl.com/2r8bxwe5 Interior point methods: https://tinyurl.com/4ev4z6zm Invariants and dissipated quantities: https://tinyurl.com/43zswmwt Linear matrix inequalities: https://tinyurl.com/4y57date COCP paper: https://tinyurl.com/468apvdx Keynote talk at L4DC: https://tinyurl.com/2y3z4v68 Model Predictive Control (MPC): https://tinyurl.com/bdf8r2sx DCP: https://tinyurl.com/yc38kvae YALMIP: https://tinyurl.com/mr3rk2r4 Stephen's books: https://tinyurl.com/52v9fu83 Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter:   / incontrolp   Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This 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 B. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, as well as the ETH and mirrorlake studios. Music was composed by A New Element.