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孙备(校外导师)

2026年02月11日 11:59  点击:[]

姓名:孙 备

性别:男

学位/职称:博士/教授

电子邮箱:sunbei@csu.edu.cn

办公地点:中南大学校本部民主楼215

研究方向:工业智能、智能控制与优化决策、系统建模与参数估计、模式识别与机器学习、最优控制与强化学习

出版著作及代表性论文:

著作:

[1]《Modeling, optimization and control of zinc hydrometallurgical purification processes》. Chunhua Yang, Bei Sun. London: Elsevier, 2021.

[2]《智能控制: 方法与应用》第十八章:流程工业过程智能控制. 周晓君, 孙备. 北京: 中国科学技术出版社, 2020.

论文:

[1] 复杂生产流程协同优化与智能控制[J]. 自动化学报, 2023, 49(3): 528-539.

[2] A Hierarchical Stochastic Network Approach for Fault Diagnosis of Complex Industrial Processes[J]. IEEE/CAA Journal of Automatica Sinica, 2025, 5(2): 564-576.

[3] Towards adaptive and interpretable process monitoring: Incremental variational graph attention autoencoder with probabilistic inference[J]. IEEE Transactions on Cybernetics, 2025, 55(9): 4114-4127.

[4] Mechanism-aware multimodal modeling of industrial processes via state-modulated graph networks[J]. Control Engineering Practice, 2025, 165: no. 106601.

[5] A dynamics-learning multirate estimation approach for the feeding condition perception of complex industry processes[J]. IEEE Transactions on Cybernetics, 2024, 54(5): 3286-3298.

[6] A Spatial-Temporal variational graph attention autoencoder using interactive information for fault detection in complex industrial processes[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(3): 3062-3076.

[7] An interpretable operating condition partitioning approach based on global spatial structure compensation-local temporal information aggregation self-organizing map for complex industrial processes, Expert Systems With Applications, 2024, 249: no. 123841.

[8] A spatial-temporal structural estimation model based on GATE-PCGRU for multirate industrial process[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: no. 3524911.

[9] An integrated multi-mode model of froth flotation cell based on fusion of flotation kinetics and froth image features[J]. Minerals Engineering, 2021, 172: no. 107169.

[10] A comprehensive hybrid first principles/machine learning modeling framework for complex industrial processes[J]. Journal of Process Control, 2020, 86: 30-43.

主持承担科研项目及经费:

主持国家重点研发计划课题,国家自然科学基金面上项目等。

科研成果(获奖、专利、版权、著作权、外观设计等):

曾获教育部技术发明奖一等奖、中国自动化学会自然科学奖一等奖,和全国有色金属优秀青年科技奖、张钟俊奖等。指导学生获湖南省优秀硕士论文,以及中国自动化大会最佳论文等奖项。

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