1. 国家自然科学基金面上项目，复杂信息-物理网络分布式安全协同控制与优化问题研究（62073079），2021-01至2024-12，60万元，在研，参与；

2. 国家自然科学基金联合基金，基于制度有效性理论的综合能源系统运营机制及关键技术研究（U1966204），2020-01至2023-12，300万元，在研，参与；

3. 国家自然科学基金面上项目，基于信息驱动的综合能效电厂弹性能量管理与运营策略研究（51977032），2020-01至2023-12，57万元，在研，参与；

4. 国家自然科学基重点项目，基于群体智能的分布式优化理论、方法及应用研究（61833005），2019-01至2023-12，285万，在研，参与；

5. 东南大学教师科研启动基金，智能电网中分布式需求响应技术研究， 10万，已结题，主持；

6. 东南大学高水平论文基金，需求侧温控负荷集群的分布式辅助服务控制研究， 8万，已结题，主持；

7. 江苏省自然科学基金青年基金项目：基于多代理系统的电力需求侧温控负荷集群控制研究，2017/07-2020/06，20万，已结题，主持；

8. 国家自然科学基金青年项目：状态观测机制下多智能体系统的集群控制研究及应用，2018/01-2020/12，25万，已结题，主持。

代表性期刊论文：

[1] J. Hu, J. Cao, and M. Abdel-Aty. Distributed aggregate tracking of heterogeneous thermostatically controlled load clusters. Journal of Intelligent & Fuzzy Systems, 38: 2529–2537, 2020.

[2] Y. Xiong, J. Hu. Limit cycle bifurcations in perturbations of planar piecewise smooth systems with multiply lines of critical points. Journal of Mathematical Analysis and Applications, 474(1): 194-218, 2019.

[3] J. Hu, J. Cao, M. Z.Q. Chen, J. Yu, J. Yao, S. Yang, T. Yong. Load following of multiple heterogeneous TCL aggregators by centralized control. IEEE Transactions on Power Systems, 32(4): 3157-3167, 2017.

[4] J. Hu, J. Cao, J.M. Guerrero, J. Yu. Improving frequency stability based on distributed control of multiple load aggregators. IEEE Transactions on Smart Grid, 8(4): 1553-1667, 2017.

[5] J. Hu, J. Cao, T. Yong, J.M. Guerrero, M. Z. Q. Chen, Y. Li. Demand response load following of source and load systems. IEEE Transactions on Control Systems Technology, 25(5): 1586-1598, 2017.

[6] J. Hu, J. Cao, T. Yong, J.M. Guerrero, M.Z.Q. Chen, Y. Li. Coordinated active power dispatch for a Microgrid via distributed lambda iteration. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 7(2): 250-261, 2017.

[7] J. Hu, J. Cao, and T. Yong. Multi-level dispatch control architecture for power systems with demand-side resources, IET Generation, Transmission & Distribution, 9 (16), 2799–2810, 2015.

[8] J. Hu, J. Yu, J. Cao, M. Ni, and W. Yu. Topological interactive analysis of power system and its communication module: A complex network approach. Physica A, 416: 99-111, 2014.

[9] J. Hu, J. Cao. Hierarchical cooperative control for multi-agent systems with switching directed topologies. IEEE Transactions on Neural Networks and Learning Systems, 26(10): 2453 - 2463, 2015.

[10] J. Hu, J. Cao, J. Yu, and T. Hayat. Consensus of nonlinear multi-agent systems with observer-based protocols. Systems & Control Letters, 72:71-79, 2014.

[11] J. Hu, J. Yu, T. Hayat and J. Cao. Distributed containment control for nonlinear multi-agent systems with time-delayed protocol. Asian Journal of Control, 18(2): 747-756, 2016.

[12] J. Hu, J. Cao. Consensus seeking for multi-agent systems by hybrid output feedback protocol. Transactions of the Institute of Measurement and Control, 39(7): 1104-1113, 2017.

[13] J. Hu, J. Liang, and J. Cao. Synchronization of hybrid-coupled heterogeneous networks: Pinning control and impulsive control schemes. Journal of the Franklin Institute, 351(5): 2600-2622, 2014.

[14] J. Hu, J. Cao, A. Alofi, A. AL-Mazrooei, and A. Elaiw. Pinning synchronization of coupled inertial delayed neural networks. Cognitive Neurodynamics, 9: 341-350, 2015.

[15] J. Hu, J. Cao, and Tasawar Hayat. Stability and Hopf bifurcation analysis for an energy resource system. Nonlinear Dynamics, 78(1):219-234, 2014.

[16] G. Wen, G. Hu, J. Hu, X. Shi, G. Chen. Frequency regulation of source-grid-load systems: A compound control strategy. IEEE Transactions on Industrial Informatics, 12(1): 69-78, 2016.