Publications

Journal Papers

  1. Zhuyi Li, Hao Zheng, Xianbo Xiang, Shuai Liu, Yiming Wan, “Remaining useful life prediction with limited run-to-failure data: A Bayesian ensemble approach combining mode-dependent RVM and similarity”, ISA Transactions, 2024, doi: 10.1016/j.isatra.2024.11.023. [PDF][link]

  2. Yiming Wan, Songtao Du, Jiayu Yan, Zhuo Wang, “Towards fast embedded moving horizon state-of-charge estimation for lithium-ion batteries”, Journal of Energy Storage, 2024, 78: 110024. [PDF][link]

  3. Wenju Zheng, Yiming Wan, Fan Yang, Chao Shang, Hao Ye, Ming Jiang, Jia Wang, “Identification of switched dynamic system for electric multiple unit train modeling”, Control Engineering Practice, 2024, 143: 105815. [link]

  4. Maoshu Xu, E. Zhang, Sheng Wang, Yi Shen, Binchen Zou, Haomiao Li, Yiming Wan, Kangli Wang, Kai Jiang, “Dynamic ultrasonic response modeling and accurate state of charge estimation for lithium ion batteries under various load profiles and temperatures”, Applied Energy, 2024, 355: 122210. [link]

  5. Hao Zhou, Yiming Wan, Hao Ye, Borui Li, Baoming Liu, “A novel real-time algorithm for optimizing train speed profiles under complex constraints”, IEEE Transactions on Intelligent Transportation Systems, 2023, 24(8): 7987-8002. [link]

  6. Yang Wang, Yiming Wan, Hong Zhang, Weidong Yang, Ying Zheng, “Robust decomposition of kernel function based nonlinear robust multimode process monitoring”, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 3511711. [link]

  7. Kesen Fan, Yiming Wan, Zhuo Wang, Kai Jiang, “Time-efficient identification of lithium-ion battery temperature-dependent OCV-SOC curve using multi-output Gaussian process”, Energy, 2023, 268: 126724. [PDF][link]

  8. Kesen Fan, Yiming Wan, Benben Jiang, “State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression”, Journal of Process Control, 2022, 112: 1-11. [PDF][link]

  9. Yiming Wan, Dongying Erin Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz, “A polynomial chaos approach to robust H-infinity static output-feedback control with bounded truncation error”, IEEE Transactions on Automatic Control, 2023, 68(1): 470-477. [PDF][link]

  10. Kun Zhu, Chengpu Yu, Yiming Wan, “Recursive least squares identification with variable-direction forgetting via oblique projection decomposition”, IEEECAA Journal of Automatica Sinica, 2022, 9(3): 547-555. [PDF][link]

  11. Yiming Wan, Yujia Ma, Maiying Zhong, “Distributionally robust trade-off design of parity relation based fault detection systems”, International Journal of Robust and Nonlinear Control, 2021, 31(18): 9149-9174. [PDF][link]

  12. Yiming Wan, Dongying Erin Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz, “Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties,” Automatica, 2021, 131: 109743. [PDF][link] .

  13. Hao Zhou, Yiming Wan, Hao Ye, Ming Jiang, Jia Wang, “Real-time energy-efficient optimal control of high-speed electric train,” Control Engineering Practice, 2021, 112: 104825. [link]

  14. Zijian Guo, Yiming Wan, Hao Ye, “An unsupervised fault detection method for railway turnouts,” IEEE Transactions on Instrumentation and Measurement, 2020, 69(11): 8881-8901.

  15. Yiming Wan, Vicenc Puig, Carlos Ocampo-Martinez, Ye Wang, Eranda Harinath, Richard D. Braatz, “Fault detection for uncertain LPV systems using probabilistic set-membership parity relation,” Journal of Process Control, 2020, 87: 27-36. [PDF][link]

  16. Zijian Guo, Yiming Wan, Hao Ye, “A data imputation method for multivariate time series based on generative adversarial network,” Neurocomputing, 2019, 360: 185-197.

  17. Yiming Wan, Tamas Keviczky, “Real-time fault-tolerant moving horizon air data estimation for the RECONFIGURE benchmark,” IEEE Transactions on Control Systems Technology, 2019, 27(3): 997-1011. [PDF]

  18. Laura Ferranti, Yiming Wan, Tamas Keviczky, “Fault-tolerant reference generation for model predictive control with active diagnosis of elevator jamming faults,” International Journal of Robust and Nonlinear Control, 2019, 29(16): 5412-5428. [PDF]

  19. Yiming Wan, Tamas Keviczky, “Real-time nonlinear moving horizon observer with pre-estimation for aircraft sensor fault detection and estimation,” International Journal of Robust and Nonlinear Control, 2019, 29(16): 5394-5411. [PDF]

  20. Yiming Wan, Tamas Keviczky, Michel Verhaegen, “Fault estimation filter design with guaranteed stability using Markov parameters,” IEEE Transactions on Automatic Control, 2018, 63(4): 1132-1139. [PDF] [arXiv]

  21. Shouchao Zhai, Yiming Wan, Hao Ye, “A set-membership approach to integrated trade-off design of robust fault detection system,” International Journal of Adaptive Control and Signal Processing, 2017, 31: 191-209.

  22. Yiming Wan, Tamas Keviczky, Michel Verhaegen, Fredrik Gustafsson, “Data-driven robust receding horizon fault estimation,” Automatica, 2016, 71: 210-221. [PDF]

  23. Yiming Wan, Wei Wang, Hao Ye, “Integrated design of residual generation and evaluation for fault detection of networked control systems,” International Journal of Robust and Nonlinear Control, 2016, 26(3): 519-541.

  24. Yiming Wan, Hao Wu, Hao Ye, “Integrated fault detection system design for linear discrete time-varying systems with bounded power disturbances,” International Journal of Robust and Nonlinear Control, 2013, 23(16): 1781-1802.

  25. Yiming Wan, Fan Yang, Ning Lv, Haipeng Xu, Hao Ye, Weichang Li, Peng Xu, Liming Song, Adam K. Usadi, “Statistical root cause analysis of novel faults based on digraph models”, Chemical Engineering Research and Design, 2013, 91(1): 87-99.

  26. Yiming Wan, Hao Ye, “Data-driven diagnosis of sensor precision degradation in the presence of control,” Journal of Process Control, 2012, 22(1): 26-40.

  27. Yiming Wan, Hao Ye, “Integrated trade-off design of fault detection system for linear discrete time-varying systems,” IET Control Theory and Application, 2013, 7(3): 455-463.

  28. Yiming Wan, Wei Wang, Hao Ye, “Discrete time-varying fault detection filter for non-uniformly sampled-data systems,” Science China Information Sciences, 2014, 57(3): 1-11.

  29. Yiming Wan, Wei Dong, Hao Ye, “Distributed H1 filtering with consensus strategies in sensor networks: considering consensus tracking error,” Acta Automatica Sinica, 2012, 38(7): 1211-1217.

Conference Papers

  1. Songtao Du, Yiming Wan, Cong Zhang, Sihang Zhang, “Real-time moving horizon estimation for nonlinear systems with unknown inputs”, 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, 2023.

  2. Yu Lin, Cong Zhang, Sihang Zhang, Yiming Wan, “An iterative mode merging method for multimode process monitoring with transition mode”, 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, 2023.

  3. Jiayu Yan, Yiming Wan, “3-D temperature field reconstruction of lithium-ion battery pack using real-time distributed moving horizon estimation”, 35the Chinese Control and Decision Conference, 2023.

  4. Songtao Du, Yiming Wan, Cong Zhang, Sihang Zhang, “Anomaly root cause analysis for wind turbines based on denoising autoencoder and sparse estimation”, IEEE 12th Data Driven Control and Learning Systems Conference, 2023.

  5. Feng Xu, Yiming Wan, Ye Wang, “Optimal fault detection observer design using excluding degree”, IEEE 61st Conference on Decision and Control, 2022, pp. 1560-1567.

  6. Zhuyi Li, Kesen Fan, Cong Zhang, Sihang Zhang, Yiming Wan, “Bearing remaining useful life prediction combining trajectory similarity and relevance vector machine”, 41th Chinese Control Conference, Hefei, China, 2022.

  7. Kun Zhu, Cong Zhang, Sihang Zhang, Yiming Wan, “Battery state-of-charge estimation combining extended Kalman filter and RLS with adaptive directional forgetting”, IEEE 17th International Conference on Control and Automation, Naples, Italy, 2022.

  8. Jiayu Yan, Song Li, Yiming Wan, “Lithium-ion battery state-of-charge estimation using a real-time moving horizon estimation algorithm”, 2021 CAA Symposium on Fault detection, Supervision and Safety for Technical Processes, Chengdu, China.

  9. Kesen Fan, Yiming Wan, “State-of-charge dependent battery model identification using Gaussian process regression”, 11th IFAC Symposium on Advanced Control of Chemical Processes, 2021. [link]

  10. Kun Zhu, Yiming Wan, Chenou Li, Xin Luo, “Battery Parameter Identification Using Recursive Least Squares with Variable Directional Forgetting”, 16th IEEE International Conference on Control & Automation, 2020, pp. 755-760.

  11. Yujia Ma, Yiming Wan, Maiying Zhong, “Probabilistic robust parity relation based fault detection using biased minimax probability machine,” 21st IFAC World Congress, Berlin, Germany. [link]

  12. Yuhao Liu, Yiming Wan, “Fault detection of Lithium-ion batteries subject to probabilistic parametric uncertainties,” 2019 CAA Symposium on Fault detection, Supervision and Safety for Technical Processes, Xiamen, China.

  13. Yiming Wan, Vicenc Puig, Carlos Ocampo-Martinez, Ye Wang, Richard D. Braatz, “Probability-guaranteed set-membership state estimation for polynomially uncertain linear time-invariant systems,” in Proceedings of the 57th IEEE Conference on Decision and Control, Miami Beach, USA, 2018, pp. 2291-2296.

  14. Shuai Yuan, Lixian Zhang, Fan Zhang, Yiming Wan, Simone Baldi, “Robust adaptive stabilization of switched higher-order planar nonlinear systems with unknown time-varying delays,” in Proceedings of 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, 2018, pp. 3249-3254.

  15. Yiming Wan, Dongying Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz, “Robust static H-infinity output-feedback control using polynomial chaos,” 2018 American Control Conference, Milwaukee, USA, 2018, pp. 6804-6809.

  16. Yiming Wan, Richard D. Braatz, “Mixed polynomial chaos and worst-case synthesis approach to robust observer based linear quadratic regulation,” 2018 American Control Conference, Milwaukee, USA, 2018, pp. 6798-6803.

  17. Yiming Wan, Eranda Harinath, Richard D. Braatz, “A piecewise polynomial chaos approach to stochastic linear quadratic regulation for systems with probabilistic parametric uncertainties,” in Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, 2017, pp. 505-510.

  18. Dongying E. Shen, Sergio Lucia, Yiming Wan, Rolf Findeisen, Richard D. Braatz, “Polynomial chaos-based H2-optimal static output feedback control of systems with probabilistic parameter uncertainties,” in Proceedings of 20th IFAC World Congress, Toulouse, France, 2017, pp. 3595-3600.

  19. Yiming Wan, Eranda Harinath, Richard D. Braatz, “Probabilistic robust parity relation for fault detection using polynomial chaos,” in Proceedings of 20th IFAC World Congress, Toulouse, France, 2017, pp. 1042-1047.

  20. Yiming Wan, Tamas Keviczky, “Implementation of real-time moving horizon estimation for robust air data sensor fault diagnosis in RECONFIGURE benchmark,” IFAC Symposium on Automatic Control in Aerospace, Sherbrooke, Quebec, Canada, 2016.

  21. Yiming Wan, Tamas Keviczky, Michel Verhaegen, “Robust air data sensor fault diagnosis with enhanced fault sensitivity using moving horizon estimation,” 2016 American Control Conference, Boston, MA, USA, 2016, pp. 5969-5975.

  22. Laura Ferranti, Yiming Wan, Tamas Keviczky, “Predictive flight control with active diagnosis and reconfiguration for actuator jamming,” 5th IFAC Conference on Nonlinear Model Predictive Control, Seville, Spain, 2015, pp. 166-171.

  23. Yiming Wan, Tamas Keviczky, Michel Verhaegen, “Data-driven sensor fault estimation filter design with guaranteed stability,” 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Paris, France, 2015, pp. 982-987. (Finalist of Paul M. Frank Best Theoretical Paper Award)

  24. Yiming Wan, Tamas Keviczky, “Fault detection and isolation for air data sensors using realtime moving horizon estimation,” in Proceedings of 2015 AIAA Guidance, Navigation, and Control Conference, Kissimmee, US, DOI: 10.2514/6.2015-1083.

  25. Yiming Wan, Tamas Keviczky, Michel Verhaegen, “Moving horizon least-squares input estimation for linear discrete-time stochastic systems,” in Proceedings of 19th IFAC World Congress, Cape Town, South Africa, 2014, pp. 3483-3488.

  26. Yiming Wan, Hao Ye, “Fault detection of networked control systems utilizing limited possibilities of unknown packet transmission,” in Proceedings of 2011 IEEE Conference on Automation Science and Engineering, Trieste, Italy, 2011, pp. 619-624.

  27. Yiming Wan, Hao Ye, Yongqiang Wang, “Fault detection of networked control systems subject to uncertain time-varying delay and packet dropout,” in Proceedings of the 4th International Conference on Innovative Computing, Information and Control, 2009, pp.231-235.

  28. Yongqiang Wang, Hao Ye, Steven X Ding, Guizeng Wang, Yiming Wan, “Observer based residual generation and evaluation of networked control systems subject to random packet dropout,” in Proceedings of 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Barcelona, Spain, 2009, pp. 822-827.nference on Systems, Man, and Cybernetics, Miyazaki, Japan, 2018, pp. 3249-3254