吴敏
Doctoral Supervisor
Gender :
Male
Date of Birth :
1963-07-01
Education Level :
Doctoral Degree in Education
Degree :
Doctoral degree
Status :
在岗
School/Department :
未来技术学院
Date of Employment :
2014-09-01
Paper Publications
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[91] X. Chen, W. H. Cao, C. Gan, M. Wu. A hybrid spatial model based on identified conditions for 3D pore pressure estimation. Journal of Natural Gas Science and Engineering, 2022, 100: 104448.
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[92] X. Chen, W. H. Cao, C. Gan, M. Wu. A hybrid partial least squares regression-based real time pore pressure estimation method for complex geological drilling process. Journal of Petroleum Science and Engineering, 2022, 210: 109771.
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[93] Z. Cai, X. Z. Lai, M. Wu, C. D. Lu, L. F. Chen. Equivalent-input-disturbance-based robust control of drilling trajectory with weight-on-bit uncertainty in directional drilling. ISA Transactions, 2022, 127: 370-382.
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[94] Z. Cai, X. Z. Lai, M. Wu, L. F. Chen, C. D. Lu. Observer-based trajectory control for directional drilling process. Asian Journal of Control, 2022, 24 (1): 259-272.
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[95] L. Y. Bi, W. H. Cao, W K Hu, M. Wu. A dynamic-attention-based heuristic fuzzy expert system for the tuning of microwave cavity filters. IEEE Transactions on Fuzzy Systems, 2022, 30 (9): 3695-3707.
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[96] Y. Zhou, X. Chen, H. B. Zhao, M. Wu, W. H. Cao, Y. C. Zhang, H. B. Liu. A novel rate of penetration prediction model with identified condition for the complex geological drilling process. Journal of Process Control, 2021, 100: 30-40.
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[97] Y. Zhou, X. Chen, M. Wu, W. H. Cao. Modeling and coordinated optimization method featuring coupling relationship among subsystems for improving safety and efficiency of drilling process. Applied Soft Computing, 2021, 99: 106899.
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[98] Y. Zhou, X. Chen, E. F. Fukushima, M. Wu, W. H. Cao, T. Terano. An online hybrid prediction model for mud pit volume in the complex geological drilling process. Control Engineering Practice, 2021, 111: 104793.
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[99] K. L. Zhou, X. Chen, M. Wu, Y. Nakanishi, W. H. Cao, J. Hu. A novel performance assessment method of the carbon efficiency for iron ore sintering process. Journal of Process Control, 2021, 106: 44-53.
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[100] K. L. Zhou, X. Chen, M. Wu, S. Du, J. Hu, Y. Nakanishi. A new CO/CO2 prediction model based on labeled and unlabeled process data for sintering process. IEEE Transactions on Industrial Informatics, 2021, 17 (1): 333-345.
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