Presentations

  • Stochastic data-driven predictive control (SYSID, Jul 2024)

  • Doctoral examination (Feb 2024)

  • Error bounds for kernel-based system identification (ERNSI, Sept 2023; CDC, Dec 2023)

  • Research overview on data-driven predictive control (slides, Sept 2023)

  • Notes on \(l_1\)-norm regularization (IfA coffee talk, Mar 2023)

  • Sparse learning in linear system identification (ERNSI, Sept 2022; CDC, Dec 2022)

  • Confidence region of data-driven predictors (ECC, July 2022)

  • Kernel-based identification of power kites (AWEC, Jun 2022, abstract; CDC, Dec 2022)

  • Applications of signal matrix models (ERNSI, Sept 2021)

  • Low-rank Hankel matrix denoising (SYSID, Jul 2021)

  • Signal matrix model in data-driven predictive control (L4DC, Jun 2021)

  • Periodic subspace identification (CDC, Dec 2020)

  • MLE in data-driven modeling and control (IfA coffee talk, Oct 2020)

  • Grouped atomic norm regularization (IFAC World Congress, Jul 2020)

Posters