[1]  Xu Yang*, Jingjing Gao, Linlin Li, Hao Luo, Steven X. Ding, Kaixiang Peng. Data-driven design of fault-tolerant control systems based on recursive stable image representation. Automatica, 2020, 122: 109246.

[2]    Xu Yang*, Yue Zhang, Yuri A.W. Shardt, XiaoLi Li, Jiarui Cui, Chaonan Tong. A KPI-based soft sensor development approach incorporating infrequent, variable time delayed measurements. IEEE Transactions on Control Systems Technology, 2020, 28(6): 2523-2531.

[3]    Xu Yang*, Jingjing Gao, Biao Huang. Data-driven design of fault detection and isolation method for distributed homogeneous systems. Journal of the Franklin Institute, 2021, 358(9): 4929-4949.

[4]    Xu Yang, Hao Luo*, Minjia Krueger, Steven X. Ding, Kaixiang Peng. Online monitoring system design for roll eccentricity in rolling mills. IEEE Transactions on Industrial Electronics, 2016, 63(4): 2559-2568.

[5]    Jian Huang, Xu Yang*, Kaixiang Peng. Double-layer distributed monitoring based on sequential correlation information for large-scale industrial processes in dynamic and static states. IEEE Transactions on Industrial Informatics, 2021, 17(9): 6419-6428.

[6]    Hao Luo, Xu Yang*, Minjia Krueger, Steven X. Ding, Kaixiang Peng. A plug-and-play monitoring and control architecture for disturbance compensation in rolling mills. IEEE-ASME Transactions on Mechatronics, 2018, 23(1): 200-210.

[7]    Jian Huang, Xiaoyang Sun, Xu Yang*, Kaixiang Peng. Fault detection for chemical processes based on non-stationarity sensitive cointegration analysis. ISA Transcations, 2022, 129: 321-333.

[8]    Jian Huang, Xu Yang*, Xuefeng Yan. Slow feature analysis-independent component analysis based integrated monitoring approach for industrial processes incorporating dynamic and static characteristics. Control Engineering Practice, 2020, 102: 104558.

[9]    Jian Huang, Xiaoyang Sun, Xu Yang*, Yuri A.W. Shardt. Active nonstationary variables selection based just-in-time co-integration analysis and slow feature analysis monitoring approach for dynamic processes. Journal of Process Control, 2022, 117: 112-121.

[10] Jingjing Gao, Xu Yang*, Jian Huang, Kaixiang Peng. A data-driven fault detection and fault-tolerant control scheme for large-scale systems and its application on multi-area interconnected power systems. IET Control theory and Applications, 2023, 17(4): 400-418.

[11] Jian Huang, Fan Wang, Liang Qiao, Xu Yang*, T-distributed stochastic neighbor embedding echo state network with state matrix dimensionality reduction for time series prediction, Engineering Applications of Artificial Intelligence, 2023, 122: 106055

[12] Xu Yang, Jieshi Xiao, Jian Huang*, Kaixiang Peng. Deep feature representation with online convolutional adversarial autoencoder for nonlinear process monitoring, Journal of the Taiwan Institute of Chemical Engineers, 2024, 155: 105236.

[13] Jingjing Gao, Xu Yang*, Jian Huang, Kaixiang Peng. Subspace aided fault-tolerant control for distributed homogeneous systems with symmetric interconnection pattern. International Journal of Control, Automation, and Systems, 2023, 21(1): 20-30.

[14] Jian Huang, Xu Yang*, Yuri A.W. Shardt, Xuefang Yan. Sparse modeling and monitoring for industrial processes using sparse, distributed principal component analysis. Journal of the Taiwan Institute of Chemical Engineers, 2021, 122: 14-22.

[15] Jingjing Gao, Xu Yang*, Shilong Zhang, Rang Tu., Hongjun Ma. Event‐triggered distributed model predictive control scheme for temperature regulation in multi‐zone air conditioning systems with improved indoor thermal preference indicator. International Journal of Adaptive Control and Signal Processing, 2023, 37(6): 1389-1409.

[16] Jian Huang, Yiran Li, Yuri A.W. Shardt, Liang Qiao, Mingrui Shi, and Xu Yang*. Error-driven chained multiple-subnetwork echo state network for time-series prediction. IEEE Sensors Journal, 2022, 22(20): 19533-19542.

[17] Xia Wu, Xu Yang*, Jian Huang, Kaixiang Peng. Remaining useful life prediction for motor systems by iteratively updated wiener process based on closed-loop performance degradation monitoring. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2024, 238(1): 3-15.

[18] Yuri A.W. Shardt, Siamak Mehrkanoon, Kai Zhang, Xu Yang*, Johan Suykens, Steven X. Ding, Kaixiang Peng. Modelling the strip thickness in hot steel rolling mills using least-squares support vector machines, The Canadian Journal of Chemical Engineering, 2018, 96(1): 171-178.

[19] Feng Gao, Jingjing Gao, Xu Yang*, Jian Huang, An integrated structure of operational performance-oriented monitoring and degradation recovery based on iterative adaptive dynamic programming, Transactions of the Institute of Measurement and Control, 2023, https://doi.org/10.1177/01423312231174077.

[20] Yinghao Zhao, Xu Yang*, Jian Huang, Xia Wu, Jiarui Cui, Adaptive weighting strategy for fault detection and diagnosis of rotating machinery components incorporating multiple operational conditions, Transactions of the Institute of Measurement and Control, 2023, https://doi.org/10.1177/01423312231184292.

[21] Yinghao Zhao, Xu Yang*, Jian Huang, Fault assessment for mechanical equipment with adaptive weights incorporating sensitivity and monotonicity, 22nd IFAC World Congress: Yokohama, Japan, 2023, 56(2): 11796-11801.

[22] Jingjing Gao, Xu Yang*, Linlin Li, Hao Luo, Steven X. Ding, Kai Zhang, Kaixiang Peng. Recursive subspace-based predictive control and its application to fault-tolerant control. 10^th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, 2018, Warsaw, Poland, 2018.08.29-31.

[23] 杨旭*, 高晶晶, 高峰, 黄健, 彭开香. 数据驱动的带钢热连轧过程监测与自愈控制研究综述. 冶金自动化, 2022, 46(6):1-15.

[24] 杨旭*,姜银光, 彭开香, 高晶晶, 童朝南. 双闭环直流调速系统动态补偿控制器的在线优化设计. 中国电机工程学报, 2017, 37(8): 2409-2417.

[25] 杨晨星, 杨旭*, 童朝南. 双馈异步风力发电机低电压穿越的软撬棒控制. 中国电机工程学报, 2018, 38(8): 2487-2495.