Carmen Amo Alonso: Part 1 (Distributed and Localized Model Predictive Control)

<p>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!</p><p><br></p><p>You can access the transcript at: <a href="https://docs.google.com/document/d/1SErvHtKoE18QzelHDUh9im6AeG3zKPWZLRoNGx5BUyg/edit?usp=sharing" target="_blank" rel="noopener noreferer">https://docs.google.com/document/d/1SErvHtKoE18QzelHDUh9im6AeG3zKPWZLRoNGx5BUyg/edit?usp=sharing</a></p><p><br></p><p>Follow the podcast on LinkedIn: <a href="https://www.linkedin.com/company/coffee-and-control-podcast/">https://www.linkedin.com/company/coffee-and-control-podcast/</a></p><p>Or connect with me directly: <a href="https://www.linkedin.com/in/lucy-hodgins-733a30175/">https://www.linkedin.com/in/lucy-hodgins-733a30175/</a></p><p> </p><p><strong>References</strong></p><p>Carmen: <a href="https://camoalon.github.io/">https://camoalon.github.io/</a></p><p>JPL: <a href="https://www.jpl.nasa.gov/">https://www.jpl.nasa.gov/</a></p><p>John Doyle: <a href="https://ieeecss.org/contact/john-doyle">https://ieeecss.org/contact/john-doyle</a></p><p>Feedback in biological control: <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9867859">https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9867859</a></p><p><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9867794">https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9867794</a></p><p>Thesis: <a href="https://thesis.caltech.edu/15262/3/Carmen_Amo_Alonso_Caltech_PhD_Thesis.pdf">https://thesis.caltech.edu/15262/3/Carmen_Amo_Alonso_Caltech_PhD_Thesis.pdf</a></p><p>Distributed localised MPC paper: <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9939038">https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9939038</a></p><p> </p><p>Professor Melanie Zeilinger: <a href="https://nccr-automation.ch/about/people/melanie-zeilinger-0">https://nccr-automation.ch/about/people/melanie-zeilinger-0</a></p><p>SLS for robust nonlinear optimal control: <a href="https://arxiv.org/pdf/2301.04943">https://arxiv.org/pdf/2301.04943</a> </p><p>Professor Nikolai Matni: <a href="https://nikolaimatni.github.io/">https://nikolaimatni.github.io/</a> </p><p>System-level synthesis tutorial: <a href="https://arxiv.org/abs/1904.01634">https://arxiv.org/abs/1904.01634</a> </p><p> </p><p>YouTube videos on DLMPC: <a href="https://www.youtube.com/watch?v=mF2Wbriy2Zg">https://www.youtube.com/watch?v=mF2Wbriy2Zg</a></p><p><a href="https://www.youtube.com/watch?v=IhtuGZp8QM0&t=302s">https://www.youtube.com/watch?v=IhtuGZp8QM0&amp;t=302s</a></p><p>ADMM survey paper: <a href="https://arxiv.org/abs/2208.03700">https://arxiv.org/abs/2208.03700</a></p><p>Professor James Anderson: <a href="https://www.columbia.edu/~ja3451/">https://www.columbia.edu/~ja3451/</a> </p><p> </p><p>Data-driven DLMCP: <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9772975">https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9772975</a></p><p>Willems fundamental lemma: <a href="https://eprints.soton.ac.uk/262195/1/PersistencyExcitation.pdf">https://eprints.soton.ac.uk/262195/1/PersistencyExcitation.pdf</a></p><p>Paolo Rapisarda episode: <a href="https://open.spotify.com/episode/076dEw28abILPAbT5qA6aw">https://open.spotify.com/episode/076dEw28abILPAbT5qA6aw</a></p><p> </p><p>Implementing DLMP on GPUs: <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9831839">https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9831839</a></p><p>Clubes de Ciencia: Mexico: <a href="https://clubesdeciencia.mx/">https://clubesdeciencia.mx/</a> </p><p>Peru: <a href="https://clubesdecienciaperu.org/">https://clubesdecienciaperu.org/</a></p><p>Terry Sejnowski: <a href="https://biology.ucsd.edu/research/faculty/tsejnowski">https://biology.ucsd.edu/research/faculty/tsejnowski</a></p>