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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
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<title>Yiming Wan </title>
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<div class="menu-category">Yiming Wan</div>
<div class="menu-item"><a href="index.html" class="current">Home</a></div>
<div class="menu-item"><a href="bio.html">Biography</a></div>
<div class="menu-item"><a href="activities.html">Activities</a></div>
<div class="menu-category">Research</div>
<div class="menu-item"><a href="publications.html">Publications</a></div>
<div class="menu-item"><a href="projects.html">Projects</a></div>
<div class="menu-category">Miscellaneous</div>
<div class="menu-item"><a href="links.html">Links</a></div>
<div class="menu-item"><a href="quotes.html">Quotes</a></div>
<div class="menu-item"><a href="google22ab48e3e48e3009.html">Others</a></div>
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<h1>Yiming Wan </h1>
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<img src="MyPhoto.jpg" alt="alt text" width="105px" height="145px" /> </td>
<td align="left"><p><b>Associate Professor</b><br /><br />
<a href="http://aia.hust.edu.cn">School of Artificial Intelligence and Automation</a> <br />
<a href="http://english.hust.edu.cn/">Huazhong University of Science and Technology</a><br /><br />
1037 Luoyu Road, Wuhan 430074, China <br />
Email: [email protected]</p>
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<h2>Research Interests</h2>
<p>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.<br /></p>
<h2>News</h2>
<ul>
<li><p>Dec 2024. Prof. Wan was awarded the <i>Excellent Scientist</i> by COMAC Innovation Valley.</p>
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<li><p>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 <a href="https://www.sciencedirect.com/science/article/abs/pii/S0019057824005342">online</a> in <i>ISA Transactions</i>.</p>
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<li><p>Dec 2023: Our paper “Towards fast embedded moving horizon state-of-charge estimation for lithium-ion batteries” is published <a href="https://www.sciencedirect.com/science/article/pii/S2352152X23034230?casa_token=-tYfPRzitmAAAAAA:2pMrg8KA8RyhiM3NvuUxUqVyfNUqUodYQk_Hk8PmIGv_aRERWNk08S79--jM0zfQS3_Yd9_NBsQ">online</a> in <i>Journal of Energy Storage</i>. </p>
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<li><p>Dec 2023: Our paper “Identification of switched dynamic system for electric multiple unit train modeling” is published <a href="https://www.sciencedirect.com/science/article/abs/pii/S0967066123003842">online</a> in <i>Control Engineering Practice</i>. </p>
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<li><p>Jan 2023: Our paper “Time-efficient identification of lithium-ion battery temperature-dependent OCV-SOC curve using multi-output Gaussian process” is published <a href="https://www.sciencedirect.com/science/article/pii/S0360544223001184?dgcid=author">online</a> in <i>Energy</i>.</p>
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<li><p>Feb 2022: Our paper “State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression” is published <a href="https://www.sciencedirect.com/science/article/pii/S0959152421002389">online</a> in <i>Journal of Process Control</i>.</p>
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<li><p>Jan 2022: Our paper “A Polynomial Chaos Approach to Robust H-infinity Static Output-Feedback Control with Bounded Truncation Error” is published <a href="https://ieeexplore.ieee.org/document/9669267">online</a> in <i>IEEE Transactions on Automatic Control</i>.</p>
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<li><p>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.</p>
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<li><p>Dec 2021: Our paper “Recursive least squares identification with variable-direction forgetting via oblique projection decomposition” is published <a href="https://ieeexplore.ieee.org/abstract/document/9646179">online</a> in <i>IEEECAA Journal of Automatica Sinica</i>.</p>
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<li><p>Sep 2021: Our paper “Distributionally robust trade-off design of parity relation based fault detection systems” is published <a href="https://onlinelibrary.wiley.com/doi/10.1002/rnc.5759">online</a> in <i>International Journal of Robust and Nonlinear Control</i>.</p>
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<li><p>June 2021: Our conference paper “State-of-Charge Dependent Battery Model Identification Using Gaussian Process Regression” is presented as a Keynote Paper at ADCHEM2021.</p>
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<li><p>June 2021: Our paper “Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties” is published <a href="https://www.sciencedirect.com/science/article/pii/S0005109821002636?dgcid=author">online</a> in <i>Automatica</i>. </p>
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<li><p>May 2021: Our paper “Real-time energy-efficient optimal control of high-speed electric train” is publised online in <i>Control Engineering Practice</i>.</p>
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<li><p>Dec 2020: I give an invited talk on data-driven fault estimation filter design at Academic Salon held by <i>Science China Information Sciences</i>.</p>
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<li><p>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.</p>
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<li><p>Jul 2020: Our paper “Probabilistic robust parity relation based fault detection using biased minimax probability machine” is presented at IFAC-V 2020 World Congress.</p>
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<li><p>Jun 2020: Our paper “<a href="https://ieeexplore.ieee.org/document/9104763">An Unsupervised Fault Detection Method for Railway Turnouts</a>” is accepted for publication in <i>IEEE Transactions on Instrumentation and Measurement</i>.</p>
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<li><p>Jan 2020: Our paper “<a href="https://www.sciencedirect.com/science/article/pii/S0959152419302495">Fault detection for uncertain LPV systems using probabilistic set-membership parity relation</a>” is accepted for publication in <i>Journal of Process Control</i>.</p>
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<li><p>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.</p>
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<li><p>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.</p>
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