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个人简介

教育经历 2001.9-2005.6 东北大学信息工程系电子信息工程专业学士学位 2006.9-2008.6 东北大学自动控制系控制理论与控制工程专业硕士学位 2008.9-2014.1 东北大学信息科学与工程学院控制理论与控制工程专业博士学位 工作经历 2014.5-2016.12 东北大学信息科学与工程学院师资博士后 2017.1至今东北大学信息科学与工程学院副教授

研究领域

控制理论;多智能体;分布式优化理论;能源互联网;智能电网

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

1. Huang B, Liu L, Zhang H*, et al. Distributed Optimal Economic Dispatch for Microgrids Considering Communication Delays[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49(8): 1634-1642. 2 .Huang B*, Liu L, Li Y, Zhang H. Distributed Optimal Energy Management for Microgrids in the Presence of Time-varying Communication Delays[J]. IEEE Access, 2019, 7,83702–83712.DOI: 10.1109/ACCESS.2019.2924269 3. Huang B*, Zheng C, Sun Q, Hu R. Optimal Economic Dispatch for Integrated Power and Heating Systems Considering Transmission Losses[J]. Energies, 2019, 12(13), 1-19. 4. Huang B, Li Y, Zhang H*, Sun Q. Distributed optimal co-multi-microgrids energy management for energy internet[J]. IEEE/CAA Journal of Automatica Sinica, 2016, 3(4):357-364. 5. Sun Q*, Huang B, Li D, et al. Optimal Placement of Energy Storage Devices in Microgrids via Structure Preserving Energy Function[J]. IEEE Transactions on Industrial Informatics, 2016, 12(3):1166-1179. 6. Li Y, Huang B*, Zhang H. Synchronization analysis for coupled static neural networks with stochastic disturbance and interval time-varying delay[J]. Neural Computing & Applications, 2018,30(4): 1123-1132. 7. Huang B, Zhang H*, Gong D, et al. Synchronization analysis for static neural networks with hybrid couplings and time delays[J]. Neurocomputing, 2015, 148(148):288-293. 8. Huang B*, Hui G, Gong D, et al. A projection neural network with mixed delays for solving linear variational inequality[J]. Neurocomputing, 2014, 125(125):28-32. 9.Huang B, Zhang H*. A new result for projection neural networks to solve linear variational inequalities and related optimization problems[J]. Neural Computing & Applications, 2013, 23(2):357-362 10.Zhang, H, Huang B*, et al. New results for neutral-type delayed projection neural network to solve;linear variational inequalities[J]. Neural Computing & Applications, 2013, 23(6):1753-1761.

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