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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[31]Y. P. Li, W. H. Cao, R. B. Gopaluni, W. K. Hu, L. Cao, M. Wu. False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis. Control Engineering Practice, 2023, 133: 105457.
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[32]Y. Li, Y. He, C. K. Zhang, M. Wu. Discrete-state decomposition technique of dissipativity analysis for discrete-time singular systems with time-varying delays. IEEE Transactions on Cybernetics, 2023, 53 (9): 5459-5468.
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[33]M. L. Li, J. H. She, Z. T. Liu, M. Wu, Y. Ohyama. Suppression of packet losses and disturbances in networked control systems based on equivalent-input-disturbance approach. IEEE Transactions on Cybernetics, 2023, 53 (4): 2051-2061.
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[34]L. Jin, Y. He, C. K. Zhang, L. Jiang, W. Yao, M. Wu. Delay-dependent stability of load frequency control with adjustable computation accuracy and complexity. Control Engineering Practice, 2023, 135: 105518.
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[35]C. S. Jiang, Z. T. Liu, M. Wu, J. H. She, W. H. Cao. Efficient facial expression recognition with representation reinforcement network and transfer self-training for human-machine interaction. IEEE Transactions on Industrial Informatics, 2023, 19 (9): 9943-9952.
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[36]H. Y. Huang, C. D. Lu, S. K. Ma, M. Wu. Analysis of coupled axial-torsional drill-string vibration based on fuzzy bit-rock interaction model considering bit balling condition. IEEE Transactions on Industrial Informatics, 2023, 19 (9): 9833-9842.
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[37]Y. He, C. K. Zhang, H. B. Zeng, M. Wu. Additional functions of variable-augmented-based free-weighting matrices and application to systems with time-varying delay. International Journal of Systems Science, 2023, 54 (5): 991-1003.
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[38]L. W. Guo, W. H. Cao, L. Y. Bi, W. K. Hu, Y. Yuan, M. Wu. A dynamic tuning decision-making model using multi-feature fusion. IEEE Transactions on Circuits and Systems II: Express Briefs, 2023, 70 (2): 601-605.
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[39]C. Gan, X. Wang, L. Z. Wang, W. H. Cao, K. Z. Liu, H. Gao, M. Wu. Multi-source information fusion-based dynamic model for online prediction of rate of penetration (ROP) in drilling process. Geoenergy Science and Engineering, 2023, 230: 212187.
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[40]C. Gan, W. H. Cao, L. Z. Wang, K. Z. Liu, M. Wu. An improved dynamic optimization control system for the drilling rate of penetration (ROP) and its industrial application. IEEE Transactions on Industrial Electronics, 2023, 70 (6): 6201-6208.
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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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