Carmen Amo Alonso: Part 1 (Distributed and Localized Model Predictive Control)
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Carmen Amo Alonso: Part 1 (Distributed and Localized Model Predictive Control)
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In this episode I talk to the very wonderful Carmen Amo Alonso about her (award-winning) PhD research on distributed and localised MPC. We also cover super interesting and useful concepts such as system-level synthesis and ADMM, as well as her internship working at Tesla!
You can access the transcript at: https://docs.google.com/document/d/1SErvHtKoE18QzelHDUh9im6AeG3zKPWZLRoNGx5BUyg/edit?usp=sharing
Follow the podcast on LinkedIn: https://www.linkedin.com/company/coffee-and-control-podcast/
Or connect with me directly: https://www.linkedin.com/in/lucy-hodgins-733a30175/
References
Carmen: https://camoalon.github.io/
JPL: https://www.jpl.nasa.gov/
John Doyle: https://ieeecss.org/contact/john-doyle
Feedback in biological control: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9867859
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9867794
Thesis: https://thesis.caltech.edu/15262/3/Carmen_Amo_Alonso_Caltech_PhD_Thesis.pdf
Distributed localised MPC paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9939038
Professor Melanie Zeilinger: https://nccr-automation.ch/about/people/melanie-zeilinger-0
SLS for robust nonlinear optimal control: https://arxiv.org/pdf/2301.04943
Professor Nikolai Matni: https://nikolaimatni.github.io/
System-level synthesis tutorial: https://arxiv.org/abs/1904.01634
YouTube videos on DLMPC: https://www.youtube.com/watch?v=mF2Wbriy2Zg
https://www.youtube.com/watch?v=IhtuGZp8QM0&t=302s
ADMM survey paper: https://arxiv.org/abs/2208.03700
Professor James Anderson: https://www.columbia.edu/~ja3451/
Data-driven DLMCP: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9772975
Willems fundamental lemma: https://eprints.soton.ac.uk/262195/1/PersistencyExcitation.pdf
Paolo Rapisarda episode: https://open.spotify.com/episode/076dEw28abILPAbT5qA6aw
Implementing DLMP on GPUs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9831839
Clubes de Ciencia: Mexico: https://clubesdeciencia.mx/
Peru: https://clubesdecienciaperu.org/
Terry Sejnowski: https://biology.ucsd.edu/research/faculty/tsejnowski