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Ying Shuai Quan (Model Predictive Control and Autonomous Driving)

Ying Shuai Quan (Model Predictive Control and Autonomous Driving)

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 In this episode I sit down with Dr Ying Shuai Quan and getexcited about her work on adaptive cruise control and lane-keeping systems, with particular focus on applying model predictive control. Features deep-dives into various aspects of MPC, with occasional offshoots into other cool areas of control! You can find the transcript for this episode at: https://docs.google.com/document/d/1ufp57VuzymcEivN3lzMaHVKgH8LgqI9BZDzgmdz2pug/edit?usp=sharingFollow the podcast on LinkedIn: https://www.linkedin.com/company/coffee-and-control-podcast/Or you can connect with me directly: https://www.linkedin.com/in/lucy-hodgins-733a30175/ References/ cool papers to learn moreYing’s thesis: https://repository.hanyang.ac.kr/handle/20.500.11754/188296Tube-based adaptive cruise control paper: https://ieeexplore.ieee.org/document/9992382Motion sickness patents: (general system) https://patents.google.com/patent/US20250115255A1/en(control and estimation) https://patents.google.com/patent/US20250128715A1/enTutorial on IQCs: https://www.scopus.com/pages/publications/84979771505Classic LMI book: https://web.stanford.edu/~boyd/lmibook/lmibook.pdfLMIs in control book chapter: https://link.springer.com/chapter/10.1007/978-1-84800-025-4_4Steve Brunton MPC video: https://www.youtube.com/watch?v=YwodGM2eoy4&t=1sGreat review/ tutorial paper on MPC: https://link.springer.com/article/10.1007/s00170-021-07682-3Review on linear fractional transformations: https://ieeexplore.ieee.org/document/261572Ying’s control-barrier functions paper: https://ieeexplore.ieee.org/document/10130631Tutorial paper on CBFs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10836828Review on control barrier functions: https://ieeexplore.ieee.org/abstract/document/10836828Using CBFs in MPC: https://arxiv.org/abs/2502.08400Control Lyapunov-barrier function-based MPC: https://ieeexplore.ieee.org/document/8431468High-order CBFs: https://ieeexplore.ieee.org/document/9516971Neural network lane-keeping paper: https://ieeexplore.ieee.org/document/8859955Robust stability of NN-based LKS: https://ieeexplore.ieee.org/abstract/document/10644841Matt Turner episode: https://open.spotify.com/episode/5KLLOvbCjOkL0v8iXo84vtTranscript: https://docs.google.com/document/d/1r41Lcpv4MtxnqfMn8ZFfnAqiK5rlfcPZ19NQhfeqaFI/edit?usp=sharingMultiple model switched adaptive control: https://eprints.soton.ac.uk/72334/Examples of systems with unknown input delays:(Connected platoons) https://ieeexplore-ieee-org/document/9530266 (Glucose control in diabetes) https://www.scopus.com/pages/publications/85192198866(Spacecraft control) https://www.scopus.com/pages/publications/84947032651Min-max MPC for non-linear systems: https://www.sciencedirect.com/science/article/pii/S0947358009707034PCA: https://www.geeksforgeeks.org/data-analysis/principal-component-analysis-pca/LPV gain-scheduling control with parameter reduction: https://ieeexplore.ieee.org/document/9830128Safe MPC using constraint softening: https://arxiv.org/abs/2503.15373 Application to autonomous driving: https://arxiv.org/abs/2505.05933 Robust and Stochastic MPC: https://www.sciencedirect.com/science/article/pii/S1367578816300098Stochastic MPC review: https://ieeexplore.ieee.org/document/7740982Polynomial chaos in non-linear stochastic MPC: https://ieeexplore.ieee.org/document/6858851Polynomial chaos overview: https://ieeexplore.ieee.org/document/6595094Melanie Zeilinger: https://idsc.ethz.ch/the-institute/people/person-detail.html?persid=142737Safe learning-based control talk: https://www.youtube.com/watch?v=cBK1CNuU66c&t=572sControl meets learning seminar series: https://sites.google.com/view/control-meets-learning/home
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