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 2024. Prof. Wan was awarded the Excellent Scientist by COMAC Innovation Valley.
Dec 2024. Our paper “Remaining useful life prediction with limited run-to-failure data: A Bayesian ensemble approach combining mode-dependent RVM and similarity” is published online in ISA Transactions.
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.