ep31 - Miroslav Krstić: nonlinear adaptive control, PDEs, delays, extremum seeking, safety, neural operators for control
04/15/25 • 122 min
2 Listeners
Outline
00:00 - Intro
01:07 - Early steps
02:47 - Why control?
05:20 - The move to the US
07:40 - The first journal paper
13:30 - What is backstepping?
17:08 - Grad school
25:10 - Stochastic stabilization
29:53 - The interest in PDEs
43:24 - Navier-Stokes equations
52:12 - Hyperbolic PDEs and traffic models
57:51 - Predictors for long delays
1:08:14 - Extremum seeking
1:27:14 - Safe control
1:36:30 - Interplay between machine learning and control
1:42:28 - Back to the roots: robust adaptive control
1:50:50 - On service
1:55:54 - Advice
Links
Miroslav’s site: https://flyingv.ucsd.edu/
Tuning functions paper: https://tinyurl.com/yznv6r9r
P. Kokotović: https://tinyurl.com/mwmbm9yh
Separation and swapping: https://tinyurl.com/y4fre6t8
Adaptive nonlinear stabilizers: https://tinyurl.com/4a9wmmvx
KKK book: https://tinyurl.com/2kw2b4k6
Stochastic nonlinear stabilization: https://tinyurl.com/4td3537a
Follow-up with unknown covariance: https://tinyurl.com/4c4n7fd7
Boundary state feedbacks for PIDEs: https://tinyurl.com/4e9y4tdr
Boundary Control of PDEs: https://tinyurl.com/d8x38bmj
Stabilization of Navier–Stokes systems: https://tinyurl.com/4a8cbjem
Traffic congestion control: https://tinyurl.com/525jphs5
Delay compensation: https://tinyurl.com/5yz6uj9p
Nonlinear predictors for long delays: https://tinyurl.com/7wvce6vy
Stability of extremum seeking: https://tinyurl.com/mr5cvzd3
Nash equilibrium seeking: https://tinyurl.com/yeywrysn
Inverse optimal safety filters: https://tinyurl.com/9dkrpvkk
Neural operators for PDE control: https://tinyurl.com/5yynsp7v
Bode lecture: https://tinyurl.com/mp92cs9u
CSM article:
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: https://twitter.com/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 L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.
Outline
00:00 - Intro
01:07 - Early steps
02:47 - Why control?
05:20 - The move to the US
07:40 - The first journal paper
13:30 - What is backstepping?
17:08 - Grad school
25:10 - Stochastic stabilization
29:53 - The interest in PDEs
43:24 - Navier-Stokes equations
52:12 - Hyperbolic PDEs and traffic models
57:51 - Predictors for long delays
1:08:14 - Extremum seeking
1:27:14 - Safe control
1:36:30 - Interplay between machine learning and control
1:42:28 - Back to the roots: robust adaptive control
1:50:50 - On service
1:55:54 - Advice
Links
Miroslav’s site: https://flyingv.ucsd.edu/
Tuning functions paper: https://tinyurl.com/yznv6r9r
P. Kokotović: https://tinyurl.com/mwmbm9yh
Separation and swapping: https://tinyurl.com/y4fre6t8
Adaptive nonlinear stabilizers: https://tinyurl.com/4a9wmmvx
KKK book: https://tinyurl.com/2kw2b4k6
Stochastic nonlinear stabilization: https://tinyurl.com/4td3537a
Follow-up with unknown covariance: https://tinyurl.com/4c4n7fd7
Boundary state feedbacks for PIDEs: https://tinyurl.com/4e9y4tdr
Boundary Control of PDEs: https://tinyurl.com/d8x38bmj
Stabilization of Navier–Stokes systems: https://tinyurl.com/4a8cbjem
Traffic congestion control: https://tinyurl.com/525jphs5
Delay compensation: https://tinyurl.com/5yz6uj9p
Nonlinear predictors for long delays: https://tinyurl.com/7wvce6vy
Stability of extremum seeking: https://tinyurl.com/mr5cvzd3
Nash equilibrium seeking: https://tinyurl.com/yeywrysn
Inverse optimal safety filters: https://tinyurl.com/9dkrpvkk
Neural operators for PDE control: https://tinyurl.com/5yynsp7v
Bode lecture: https://tinyurl.com/mp92cs9u
CSM article:
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: https://twitter.com/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 L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.
Previous Episode
ep30 - Manfred Morari: A pioneer’s journey through robust, predictive and computational control
Outline
00:00 - Intro
03:26 - Development: ETH Zürich
07:15 - Growth: Minnesota and Wisconsin
36:16 - Productivity: Caltech
53:28 - Change: ETH Zürich
01:37:18 - Continuity: University of Pennsylvania
01:45:36 - Outro
Links
Manfred’s website: https://tinyurl.com/mryp38w3
Farewell lecture: https://tinyurl.com/2j5uxsp4
Laying the foundations: an advisor’s perspective: https://tinyurl.com/ym5e4437
Internal model control. A unifying review and some new results: https://tinyurl.com/vmm7a4tk
Internal model control - PID controller design: https://tinyurl.com/rup3azjm
Robust process control: https://tinyurl.com/8uhurkub
Robust control of ill-conditioned plants: high-purity distillation: https://tinyurl.com/5xfty34c
Computational complexity of \mu calculation: https://tinyurl.com/24yvvcc7
Robust constrained model predictive control using linear matrix inequalities: https://tinyurl.com/3pdk55kk
Control of systems integrating logic, dynamics, and constraints: https://tinyurl.com/489ekvsn
The explicit linear quadratic regulator for constrained systems: https://tinyurl.com/mr2e3z83
Model predictive control: https://tinyurl.com/2s4dafkd
Parametric programming: https://tinyurl.com/2u9vj79y
Embotech: https://tinyurl.com/3f99ks65
Embedded online optimization for model predictive control at megahertz rates: https://tinyurl.com/59z3vnb9
Donoho’s “Bridge from mathematical to digital and back”: https://tinyurl.com/3f9fk73w
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: https://twitter.com/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 L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.
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