Скачать или смотреть 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
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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.