博士生导师
性别：男
出生年月：1963-07-01
学历：博士研究生毕业
学位：博士学位
在职信息：在岗
所在单位：未来技术学院
入职时间：2014-09-01
访问量：
最后更新时间：..
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[21]X. C. Shangguan, Y. He, C. K. Zhang, W. Yao, Y. F. Zhao, L. Jiang, M. Wu. Resilient load frequency control of power systems to compensate random time delays and time-delay attacks. IEEE Transactions on Industrial Electronics, 2023, 70 (5): 5115-5128.
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[22]Q. C. Mei, J. H. She, F. Wang, M. Wu, Q. G. Wang, Y. Nakanishi. Performance enhancement for an equivalent-input-disturbance-based control system using a sliding-mode controller. IEEE/ASME Transactions on Mechatronics, 2023, 28 (3): 1456-1465.
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[23]S. K. Ma, M. Wu, L. F. Chen, C. D. Lu. Design and application of weight-on-bit control system for drilling process: A variable-gain integrated controller with multiple-model parameter estimation. Control Engineering Practice, 2023, 130.
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[24]S. K. Ma, M. Wu, L. F. Chen, C. D. Lu. A robust integrated control design for weight-on-bit fluctuation suppression in drilling process subject to fractured formations. ISA Transactions, 2023, 136: 223-234.
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[25]C. D. Lu, Z. Q. He, L. F. Chen, Q. X. Li, M. Wu. Suppressing coupled axial torsional vibration of drill-string system considering regenerative cutting induced delay and actuator saturation. IEEE Transactions on Industrial Electronics, 2023, 70 (11): 11608-11617.
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[26]F. Long, C. K. Zhang, Y. He, Q. G. Wang, Z. M. Gao, M. Wu. Hierarchical passivity criterion for delayed neural networks via a general delay-product-type Lyapunov-Krasovskii functional. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34 (1): 421-432.
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[27]Z. T. Liu, B. H. Wu, M. T. Han, W. H. Cao, M. Wu. Speech emotion recognition based on meta-transfer learning with domain adaption. Applied Soft Computing, 2023, 147.
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[28]Y. P. Li, W. H. Cao, W. K. Hu, M. Wu. Identification of downhole conditions in geological drilling processes based on quantitative trends and expert rules. Neural Computing & Applications, 2023, 35 (17): 12297-12306.
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[29]Y. P. Li, W. H. Cao, R. B. Gopaluni, W. K. Hu, M. Wu. Early warning of drillstring faulty conditions based on multi-model fusion in geological drilling processes. Journal of Process Control, 2023, 126: 26-35.
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[30]Y. P. Li, W. H. Cao, R. B. Gopaluni, W. K. Hu, C. Gan, M. Wu. Drilling process monitoring based on operation mode recognition and dynamic feature extraction. IEEE Transactions on Industrial Electronics, 2023, DOI: 10.1109/TIE.2023. 3310010.
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中国地质大学（武汉）校址：湖北省武汉市鲁磨路388号
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