Yiming Wan
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Associate Professor |
Research Interests
My research interests include fault-tolerant control, moving horizon estimation, model predictive control, learning-based control and estimation, industrial data analytics, with applications in unmanned systems, energy, and industrial processes.
News
Dec 2023: Our paper “Towards fast embedded moving horizon state-of-charge estimation for lithium-ion batteries” is published online in Journal of Energy Storage.
Dec 2023: Our paper “Identification of switched dynamic system for electric multiple unit train modeling” is published online in Control Engineering Practice.
Jan 2023: Our paper “Time-efficient identification of lithium-ion battery temperature-dependent OCV-SOC curve using multi-output Gaussian process” is published online in Energy.
Feb 2022: Our paper “State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression” is published online in Journal of Process Control.
Jan 2022: Our paper “A Polynomial Chaos Approach to Robust H-infinity Static Output-Feedback Control with Bounded Truncation Error” is published online in IEEE Transactions on Automatic Control.
Dec 2021: Our conference paper “Lithium-ion battery state-of-charge estimation using a real-time moving horizon estimation algorithm” is presented at CAA Safeprocess 2021.
Dec 2021: Our paper “Recursive least squares identification with variable-direction forgetting via oblique projection decomposition” is published online in IEEECAA Journal of Automatica Sinica.
Sep 2021: Our paper “Distributionally robust trade-off design of parity relation based fault detection systems” is published online in International Journal of Robust and Nonlinear Control.
June 2021: Our conference paper “State-of-Charge Dependent Battery Model Identification Using Gaussian Process Regression” is presented as a Keynote Paper at ADCHEM2021.
June 2021: Our paper “Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties” is published online in Automatica.
May 2021: Our paper “Real-time energy-efficient optimal control of high-speed electric train” is publised online in Control Engineering Practice.
Dec 2020: I give an invited talk on data-driven fault estimation filter design at Academic Salon held by Science China Information Sciences.
Oct 2020: Our paper “Battery Parameter Identification Using Recursive Least Squares with Variable Directional Forgetting” is presented at 16th IEEE International Conference on Control & Automation.
Jul 2020: Our paper “Probabilistic robust parity relation based fault detection using biased minimax probability machine” is presented at IFAC-V 2020 World Congress.
Jun 2020: Our paper “An Unsupervised Fault Detection Method for Railway Turnouts” is accepted for publication in IEEE Transactions on Instrumentation and Measurement.
Jan 2020: Our paper “Fault detection for uncertain LPV systems using probabilistic set-membership parity relation” is accepted for publication in Journal of Process Control.
Dec 2018: Our paper “Probability-guaranteed set-membership state estimation for polynomially uncertain linear time-invariant systems” is presented at CDC2018 in Miami Beach, US.
Jul 2018: Our papers “Robust static H-infinity output-feedback control using polynomial chaos” and “Mixed polynomial chaos and worst-case synthesis approach to robust observer based linear quadratic regulation” are presented at ACC2018, Milwaukee, US.