- [41] C. Gan, W. H. Cao, K. Z. Liu, M. Wu. Dynamic optimization-based intelligent control system for drilling rate of penetration (ROP): Simulation and industrial application. IEEE Transactions on Industrial Informatics, 2023, DOI: 10.1109/TII. 2023.3313633.
- [42] S. Y. Duan, C. H. Zhao, M. Wu. Multiscale partial symbolic transfer entropy for time-delay root cause diagnosis in nonstationary industrial processes. IEEE Transactions on Industrial Electronics, 2023, 70 (2): 2015-2025.
- [43] L. F. Chen, K. L. Wang, M. Li, M. Wu, W. Pedrycz, K. Hirota. K-means clustering-based kernel canonical correlation analysis for multimodal emotion recognition in human-robot interaction. IEEE Transactions on Industrial Electronics, 2023, 70 (1): 1016-1024.
- [44] J. Q. An, C. L. Yang, M. Wu, S. Du. Intelligent control strategy for sintering ignition temperature based on working-condition recognition. IEEE Transactions on Automation Science and Engineering, 2023, DOI: 10.1109/TASE.2023. 3296475.
- [45] Y. Zhou, X. Chen, M. Wu, W. H. Cao. A novel modeling and drilling optimization method with suitable constraints in geological well. Control Engineering Practice, 2022, 122: 105062.
- [46] Z. Zhang, X. Z. Lai, C. D. Lu, S. Du, W. K. Yu, M. Wu. Bit bounce detection and alarm optimization based on domain generalization for drilling process. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 3529211.
- [47] W. Zhang, M. Wu, S. Du, L. F. Chen. Plate shape recognition based on Gaussian function and particle swarm optimization for roller quenching process. Journal of Process Control, 2022, 119: 115-127.
- [48] P. Zhang, X. Z. Lai, Y. W. Wang, C. Y. Su, M. Wu. PSO-based nonlinear model predictive planning and discrete-time sliding tracking control for uncertain planar underactuated manipulators. International Journal of Systems Science, 2022, 53 (10): 2075-2089.
- [49] D. Zhang, M. Wu, C. D. Lu, L. F. Chen, W. H. Cao, Y. W. Wang, J. Hu. Tube-based adaptive model predictive control for deviation correction in vertical drilling process. IEEE Transactions on Industrial Electronics, 2022, 69 (9): 9419-9428.
- [50] W. K. Yu, M. Wu, B. Huang, C. D. Lu. A generalized probabilistic monitoring model with both random and sequential data. Automatica, 2022, 144: 110468.
- [51] X. Yin, J. H. She, M. Wu, D. Sato, K. Ohnishi. Disturbance rejection using SMC-based-equivalent-input-disturbance approach. Applied Mathematics and Computation, 2022, 418: 126839.
- [52] M. Wu, W. J. Su, L. F. Chen, W. Pedrycz, K. Hirota. Two-stage fuzzy fusion based-convolution neural network for dynamic emotion recognition. IEEE Transactions on Affective Computing, 2022, 13 (2): 805-817.
- [53] Z. W. Wang, J. H. She, Z. T. Liu, M. Wu. Modified equivalent-input-disturbance approach to improving disturbance-rejection performance. IEEE Transactions on Industrial Electronics, 2022, 69 (1): 673-683.
- [54] Y. W. Wang, X. Wu, W. A. Zhang, M. Wu. Equivalent-input-disturbance-based position synchronization control of networked multiaxis motion system. IEEE Transactions on Industrial Electronics, 2022, 69 (8): 8317-8324.
- [55] Y. W. Wang, A. D. Liu, W. A. Zhang, M. Wu. Synchronization tracking control of networked multi-axis motion systems: A cooperative distributed model predictive control approach. Control Engineering Practice, 2022, 126: 105233.
- [56] L. J. Wang, X. Z. Lai, P. Zhang, M. Wu. A control strategy based on trajectory planning and optimization for two-link underactuated manipulators in vertical plane. IEEE Transactions on Systems Man Cybernetics: Systems, 2022, 52 (6): 3466-3475.
- [57] L. J. Wang, X. Z. Lai, P. Zhang, M. Wu. A unified and simple control strategy for a class of n-link vertical underactuated manipulator. ISA Transactions, 2022, 128: 198-207.
- [58] C. R. Wang, Y. He, C. K. Zhang, M. Wu. Stability analysis of discrete-time neural networks with a time-varying delay: Extended free-weighting matrices zero equation approach. IEEE Transactions on Cybernetics, 2022, DOI: 10.1109/ TCYB.2022.3201686.
- [59] X. B. Wan, C. Yang, C. K. Zhang, M. Wu. Hybrid adjusting variables-dependent event-based finite-time state estimation for two-time-scale Markov jump complex networks. IEEE Transactions on Neural Networks and Learning Systems, 2022, DOI: 10.1109/TNNLS.2022. 3183447.
- [60] X. B. Wan, F. Wei, C. K. Zhang, M. Wu. Hybrid variables-dependent event-triggered model predictive control subject to polytopic uncertainties. International Journal of Systems Science, 2022, 53 (14): 3042-3055.
吴敏 (教授)
教授 博士生导师
性别：男
出生年月：1963-07-11
毕业院校：东京工业大学
学历：研究生毕业
学位：工学博士学位
在职信息：在职
所在单位：自动化学院
入职时间：2014-09-01
联系方式：+86-27-87175058
Email：
访问量：
最后更新时间：..
最后更新时间：..