閆浩

1.複雜工業過程智能建模、控制與優化

2. 異常工況智能識別與自主調整

3. 工業大數據分析、機器學習

發表論文：

[1] Hao Yan,Shiji Song, Fuli Wang, Dakuo He, Jianjun Zhao. Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data. Journal of Process Control, 2023, 128: 10300.

[2] Hao Yan, Fuli Wang, Dakuo He, Qingkai Wang. An operational adjustment framework for a complex industrial process based on hybrid Bayesian network. IEEE Transactions on Automation Science and Engineering. 2020, 17(4): 1699-1710.

[3] Hao Yan, Fuli Wang, Gege Yan, Dakuo He. Hybrid approach integrating case-based reasoning and Bayesian network for operational adjustment in industrial flotation process.Journal of Process Control, 2021, 103: 34-47.

[4] Hao Yan, Fuli Wang, Dakuo He, Luping Zhao, Qingkai Wang. Bayesian network-based modeling and operational adjustment of plantwide flotation industrial process. Industrial & Engineering Chemistry Research, 2020, 59(5): 2025-2035.

[5] Hao Yan,Jianwen Wang, Fuzhong Wang, Zhiqiang Wang, Shuangquan Zou. Observer-based reliable passive control for uncertain T-S fuzzy systems with time-delay. International Journal of Systems Science, 2019, 50(5): 905-918.

[6] 閆浩, 王福利, 孫鈺灃, 何大闊. 基於貝葉斯網絡參數遷移學習的電熔鎂爐異常工況識別. 自動化學報, 2021, 47(1): 197-208.

[7] Hao Yan,Jin Zhu, Fuli Wang, Dakuo He, Qingkai Wang. Bayesian network-based technical index estimation for industrial flotation process under incomplete data. Proceedings of the 32th Chinese Control and Decision Conference, 2020: 3354-3359.

[8] Hao Yan,Qingkai Wang, Zhiqiang Wang, Xu Wang, Feng Yu. Estimation of copper concentrate grade for copper flotation. IFAC-PapersOnLine, 2018, 51(21): 94-98.

[9] Hao Yan, Fuzhong Wang. Reliable passive control for a class of T-S fuzzy systems with time-delay. Proceedings of the 28th Chinese Control and Decision Conference, 2016: 6089-6094.

[10] 王福忠, 閆浩. 基於動態輸出反饋的時滯T-S模糊系統無源可靠控制. 瀋陽建築大學學報(自然科學版), 2016, 32(4): 760-768.

[11] 王福忠, 閆浩. 基於Backstepping方法的一類非線性系統控制器優化設計. 瀋陽建築大學學報(自然科學版), 2016, 32(1): 186-192.

主持和參與主要科研項目：

1.中國博士後科學基金第15批特別資助(站中), 浮選生產過程魯棒可解釋的性能監控與診斷方法研究, 2022.07-2023.09, 18萬, 主持.

2.國家重點研發計劃子課題, 作業控制仿真平台智能優化算法研究, 2021.12-2025.12, 100萬, 主持.

3.礦冶過程自動控制技術國家重點實驗室開放基金, 基於遷移學習的浮選新過程智能調控決策方法研究, 2022.09-2024.09, 10萬, 主持.

4.科技部“科技創新2030—新一代人工智能”重大項目, 複雜製造環境下的協同控制與決策理論方法, 2019.12-2022.12, 873萬, 參與.

5.國家自然科學基金面上項目, 基於貝葉斯網絡的生產過程異常工況識別與自愈控制方法研究, 2020.01-2024.01, 58萬, 參與.

6.國家自然科學基金面上項目, 基於多源異構信息的電熔鎂熔鍊過程運行狀態評價及智能決策, 2021.01-2025.01, 58萬, 參與.

7.江西銅業集團橫向課題, 江銅集團大數據分析工具池建設, 2017.06-2018.12, 120萬, 參與.

8. 國家自然科學基金重點項目, 流程工業優化控制與安全運行知識自動化系統設計方法與應用研究, 2016.01-2020.12, 285萬, 參與.