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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[71]F. Long, C. K. Zhang, Y. He, Q. G. Wang, M. Wu. Stability analysis for delayed neural networks via a novel negative-definiteness determination method. IEEE Transactions on Cybernetics, 2022, 52 (6): 5356-5366.
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[72]W. J. Lin, Y. He, C. K. Zhang, L. M. Wang, M. Wu. Event-triggered fault detection filter design for discrete-time memristive neural networks with time delays. IEEE Transactions on Cybernetics, 2022, 52 (5): 3359-3369.
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[73]Y. L. Jin, W. H. Cao, M. Wu, Y. Yuan. Data-based variable universe adaptive fuzzy controller with self-tuning parameters. Applied Soft Computing, 2022, 123: 108944.
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[74]L. Jin, Y. He, C. K. Zhang, X. C. Shangguan, L. Jiang, M. Wu. Robust delay-dependent load frequency control of wind power system based on a novel reconstructed model. IEEE Transactions on Cybernetics, 2022, 52 (8): 7825-7836.
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[75]W. D. Huang, M. Wu, J. Hu, L. F. Chen, C. D. Lu, X. Chen, W. H. Cao. A multi-objective optimisation algorithm for a drilling trajectory constrained to wellbore stability. International Journal of Systems Science, 2022, 53 (1): 154-167.
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[76]W. D. Huang, M. Wu, L. F. Chen, J. H. She, H. Hashimoto, S. Kawata. Multiobjective drilling trajectory optimization considering parameter uncertainties. IEEE Transactions on Systems Man Cybernetics: Systems, 2022, 52 (2): 1224-1233.
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[77]J. Hu, M. Wu, L. F. Chen, K. L. Zhou, P. Zhang, W. Pedrycz. Weighted kernel fuzzy c-means-based broad learning model for time-series prediction of carbon efficiency in iron ore sintering process. IEEE Transactions on Cybernetics, 2022, 52 (6): 4751-4763.
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[78]J. Hu, M. Wu, L. F. Chen, W. Pedrycz. A novel modeling framework based on customized kernel-based fuzzy c-means clustering in iron ore sintering process. IEEE/ASME Transactions on Mechatronics, 2022, 27 (2): 950-961.
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[79]J. Hu, M. Wu, L. F. Chen, W. H. Cao, W. Pedrycz. Real-time dynamic prediction model of carbon efficiency with working condition identification in sintering process. Journal of Process Control, 2022, 111: 97-105.
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[80]C. Gan, W. H. Cao, K. Z. Liu, M. Wu. A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process. Journal of Process Control, 2022, 109: 83-92.
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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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