国家自然科学基金面上项目，61473003，多约束下非线性积分器系统鲁棒自适应控制及应用，已结题，参与

国家自然科学基金青年基金,61703094，复杂多智能体系统输入饱和有限时间一致性控制，已结题，主持

江苏省自然科学基金青年基金，BK20170695, 输入饱和复杂多智能体系统采样一致性控制，已结题，主持

装备预研教育部联合基金一般项目，6141A020223，无人集群系统分布式自主协同通信与控制关键技术，已结题，参与

国防科技创新特区项目， 201-CXCY-A01-01-03-03，多自主体系统分布式XXX区域覆盖控制，在研，主持

国家自然科学基金面上项目，62173085，复杂多自主体系统高效分布式避障协同控制研究及应用，在研，主持

发表期刊论文

1.    J. Fu, Lv Y, W. Y, Robust adaptive time-varying region tracking control of multi-robot systems. Science China. doi：10.1007/s11432-020-3299-2, 2021.

2.    J. Fu, Y. Lv, G. Wen and X. Yu, "Local measurement based formation navigation of nonholonomic robots with globally bounded inputs and collision avoidance," IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2021.3089833.

3.    J. Fu, G. Wen, X. Yu and Z. Wu, “Distributed formation navigation of constrained second-order multiagent systems with collision avoidance and connectivity maintenance,”  IEEE Transactions on Cybernetics. doi: 10.1109/TCYB.2020.3000264

4.     J. Fu, Y. Lv, G. Wen, X. Yu and T. Huang,“Velocity and input constrained coordination of second-order multi-agentsystems with relative output information,” IEEE Transactions on NetworkScience and Engineering. vol. 7, no. 3, 1925-1938, 2020.

5.     J. Fu, G. Wen, W. Yu, T. Huang and X. Yu,"Consensus of second-order multi-agent systems with both velocity andinput constraints," IEEE Transactions on Industrial Electronics.vol. 66, no. 10, pp. 7946-7955, 2019.

6.     J. Fu, G. Wen, T. Huang and Z. Duan,"Consensus of multi-agent systems with heterogeneous input saturationlevels,"  IEEE Transactions on Circuits and Systems II: ExpressBriefs. vol. 66, no. 6, pp. 1053-1057, 2019.

7.     J. Fu, Y. Wan, G. Wen and T. Huang,"Distributed robust global containment control of second-order multi-agentsystems with input saturation,"  IEEE Transactions on Controlof Network Systems. vol.6, no. 4, pp. 1426-1437, 2019.

8.     J. Fu, G. Wen, W. Yu and Z. Ding,"Finite-time consensus for second-order multi-agent systems with inputsaturation,"  IEEE Transactions on Circuits and Systems II:Express Briefs, vol. 65, no. 11, pp. 1758-1762, Nov. 2018.

9.     J. Fu, G. Wen, W. Yu, T. Huang and J. Cao,"Exponential consensus of multi-agent systems with Lipschitznonlinearities using sampled-data information," IEEETransactions on Circuits and Systems I: Regular Papers, vol. 65, no.12, pp. 4363-4375, Dec. 2018.

10.  J. Fu and J. Wang, "Observer-basedfinite-time coordinated tracking for general linear multi-agent systems," Automatica,vol. 66, pp. 231-237, 2016.

11.  J. Fu, Y. Wan, and T. Huang, “Event-triggeredfinite-time practical consensus of multiagent systems with general directedcommunication graphs,”  InternationalJournal of Robust and Nonlinear Control, vol. 30, pp. 7255-7277, 2020.

12.  J. Fu, Y. Lv and T. Huang, "Distributedanti-windup approach for consensus tracking of second-order multi-agent systemswith input saturation," Systems & Control Letters, vol.130, pp. 1-6, 2019.

13.  J. Fu, Q. Wang and J. Wang, "Robustfinite-time consensus tracking for second-order multi-agent systems with inputsaturation under general directed communication graphs," InternationalJournal of Control. vol. 92, no. 8, pp. 1785-1795, 2019.

14.  J. Fu, J. Wang and Z. Li, "Leader-following control of perturbedsecond-order integrator systems with binary relative information," InternationalJournal of Systems Science, vol. 48, no. 3, pp. 485-493, 2017.

15.  J. Fu and J. Wang, "Finite-time consensusfor multi-agent systems with globally bounded convergence time under directedcommunication graphs," International Journal of Control,vol. 90, no. 9, pp. 1807-1817, 2017.

16.  J. Fu and J. Wang, "Fixed-time coordinatedtracking for second-order multi-agent systems with bounded inputuncertainties," Systems and Control Letters, vol.93, pp. 1-12, 2016.

17.  J. Fu and J. Wang, "Robust finite-timecontainment control for high-order multi-agent systems with matcheduncertainties under directed communication graphs," International Journal of Control,vol. 89, no. 6. pp. 1137-1151, 2016.

18.  J. Fu and J. Wang, "Robust finite-timecontainment control of general linear multi-agent systems under directedcommunication graphs," Journal of the Franklin Institute,vol. 353, no. 12, pp. 2670-2689, 2016.

19.  J. Fu and J.Wang, "Adaptive motioncoordination of passive systems under quantization effect," InternationalJournal of Robust and Nonlinear Control, vol. 25, no. 11, pp.1638-1653, 2015.

20.  J. Fu and J. Wang, "Adaptive coordinatedtracking of multi-agent systems with quantized information," Systemsand Control Letters, vol. 74, pp. 115-125, 2014.

21.  J. Fu and J. Wang, "Output consensus ofheterogeneous linear systems with quantized information," Journalof the Franklin Institute, vol. 351, no. 3. pp. 1400-1418, 2014.

22.  J. Fu and J. Wang, "Adaptive consensus tracking of high-order nonlinear multi-agentsystems with directed communication graphs," International Journal of Control,Automation and Systems, vol. 12, no. 5, pp. 919-929, 2014.

23.  唐美祺，付俊杰，稀疏高斯过程多智能体区域覆盖控制，控制工程，2021.

24.  G. Wen,X. Yu, J. Fu, H. Wang and W. Yu,“Fast distributed average tracking in multi-agent networks: The case withgeneral linear agent dynamics,” IEEE Transactions on Control of NetworkSystems, 2021. Doi:10.1109/TCNS.2020.3046949

25.  T. Liu,M. Liu, G. Wen, Y. Lv and J. Fu,"Consensus of linear MIMO multi-agent systems: Appointed-timereduced-order observer-based protocols, " IEEE Transactions on Cybernetics.2021. Doi:10.1109/TCYB.2021.3062424

26.  Y. Lv, J. Fu, G. Wen and X. Yu, “Distributedadaptive observer-based control for output consensus of heterogeneous MASs withinput saturation constrain,” IEEE Transactions on Circuits and Systems I:Regular Papers. vol. 67, no. 3, 995-1007, 2020.

27.  Y. Lv, J. Fu, G. Wen, X. Yu and T. Huang, “Onconsensus of multi-agent systems with input saturation: fully distributedadaptive anti-windup protocol design approach,” IEEE Transactions onControl of Network Systems, vol.7 no.3, pp. 1127-1139, 2020.

28.  Y. Lv, J. Fu, G. Wen, T. Huang and X. Yu,"Fully distributed anti-windup consensus protocols for linear MASs withinput saturation: The case with directed topology," IEEETransactions on Cybernetics. vol. 51, no. 5, pp. 2359-2371, 2021.

29.  F.Tian, W. Yu, J. Fu, W. Gu and J. Gu, " Distributed optimization ofmulti-agent systems subject to inequality constraints," IEEETransactions on Cybernetics. doi: 10.1109/TCYB.2019.2927725.

30.  H.Hong, W. Yu, J. Fu and X. Yu, "Finite-time connectivity-preservingconsensus for second-order nonlinear multiagent systems," IEEETransactions on Control of Network Systems, vol. 6, no. 1, pp. 236-248,March 2019.

31.  H.Hong, W. Yu, J. Fu and X. Yu, "A novel class of distributedfixed-time consensus protocols for second-order nonlinear and disturbedmulti-agent systems," IEEE Transactions on Network Science andEngineering. vol. 6, no. 4, 760-772, October 2019.

32.  F. Mei,H. Wang, Y. Yao, J. Fu, X. Yuan and W. Yu, "Robust second-orderfinite-time formation control of heterogeneous multi-agent systems on directedcommunication graphs," IET Control Theory & Applications,vol. 14, no. 6, pp. 816-823, 2020.

33.  Y. Yao,F. Tian, F. Mei, J. Fu, B. Dai and W. Yu. "Dynamical economic dispatchusing distributed barrier function-based optimization algorithm." ScienceChina (Technological Sciences) vol. 62, pp. 2104–2112, 2019.

34.  W.Zhang , J. Qin, F. Mei, J. Fu, B. Dai and W. Yu, "Short-term powerload forecasting using integrated methods based on long short-term memory," Science China (Technological Sciences), 063(004):pp.614-624, 2020.

35.  Q.Wang, J. Fu, and J. Wang."Fully distributed containment control of high-order multi-agent systemswith nonlinear dynamics," Systems & Control Letters, vol.99, pp. 33-39, 2017.

36.  Q.Wang, J. Fu and J. Wang,"Cooperative tracking for high-order nonlinear multi-agent systems viaadaptive control," IET control theory and applications,vol. 12, no. 11, pp. 1592-1600, 2018.

会议论文

Fu J, Wang J. Adaptive consensus tracking of linear multi-agent systems with matching nonlinear uncertainties[C]//Control Conference (CCC), 2013 32nd Chinese. IEEE, 2013: 6773-6778.

Fu J, Wang J. Leader-following control of second-order integrator systems using binary information[C]//Control and Decision Conference (2014 CCDC), The 26th Chinese. IEEE, 2014: 263-268.

Fu J, Wang J. Observer-based finite-time coordinated tracking for high-order integrator systems with matched uncertainties under directed communication graphs[C]//Control & Automation (ICCA), 11th IEEE International Conference on. IEEE, 2014: 880-885.

Fu J, Wang J. Finite-time coordinated tracking for high-order uncertain nonlinear multi-agent systems with directed communication graphs[C]// The 33th Chinese Control Conference (2014 CCC). IEEE, 2014:1081-1086.

Fu J, Wang J. Terminal sliding mode control based finite-time coordinated tracking for disturbed high-order integrator systems[C]//Control and Decision Conference (CCDC), 2015 27th Chinese. IEEE, 2015: 44-49.

Fu J, Wang J, and Li Z. Fully distributed finite-time leader-following control for high-order integrator systems with directed communication graphs[C]// The 34th Chinese Control Conference (2015 CCC). IEEE, 2015: 6912-6917

Wang Q, Fu J, and Wang J. Leader-follower consensus for high-order integrator systems with Lipschitz nonlinear dynamics [C]// The 34th Chinese Control Conference (2015 CCC). IEEE, 2015: 7096-7101.

Fu J, Wang Q, and Wang J. Global saturated finite-time consensus tracking for uncertain second-order multi-agent systems with directed communication graphs [C]// The 35th Chinese Control Conference (2016 CCC). IEEE, 2016: 7684-7689.

Wang Q, Fu J, and Wang J. Observer-based adaptive containment control for multi-agent systems with nonlinear dynamics under directed graphs. [C]// The 12th World Congress on Intelligent Control and Automation. IEEE, 2016: 360-365.

Wang Q, Fu J, and Wang J. Cooperative tracking for high-order Lipschitz nonlinear multi-agent systems via adaptive control [C]// The 35th Chinese Control Conference (2016 CCC). IEEE, 2016: 7961-7966.

Fu J, Wang Q, and Wang J. Robust finite-time consensus tracking for second-order multi-agent systems with reduced communication [C]// The 55th Conference on Decision and Control (CDC). IEEE, 2016: 6086-6091.

Fu J, Tan Y, Wang J. Output feedback consensus tracking for second-order nonlinear multi-agent systems with directed communication graphs[C]//Control And Decision Conference (CCDC), 2017 29th Chinese. IEEE, 2017: 5448-5452.

Fu J, Wang J, Tan Y, et al. Sampled-data leader-following rendezvous with input saturation[C]//Control & Automation (ICCA), 2017 13th IEEE International Conference on. IEEE, 2017: 530-535.

14.  Li X, Tan Y, Fu J, Mareels I. On V-shaped flight formation of bird flocks withvisual communication constraints. In2017 13th IEEE International Conference onControl & Automation (ICCA) 2017 Jul 3 (pp. 513-518).

15.  FuJ, Wen G, Yu W, et al.Consensus tracking of second-order multi-agent systems with input saturationunder sampled-data communication[C]// Chinese Automation Congress, 2017:4838-4843.

Hong H, Yu W, Wen G, Fu J. Robust consensus tracking for heterogeneous linear multi-agent systems with disturbances [C]// Asian Control Conference, 2017: 729-734.

17.  FuJ, Wen G. Sampled-dataconsensus of Lipschitz nonlinear multi-agent systems under directedcommunication graphs [C]// 2018 33rd Youth Academic Annual Conference ofChinese Association of Automation (YAC), Nanjing, 2018, pp. 18-23.

18.  FuJ, Wang J. Robust globalfinite-time attitude coordination for multiple spacecraft [C]// 2018 37thChinese Control Conference (CCC). IEEE, 2018, pp. 6622-6627.

19.  Fu J, Huang T, Wen G. Global Leader-following Control ofMultiple Non-holonomic Mobile Robots With Input Saturation [C]// 2018 15thInternational Conference on Control, Automation, Robotics and Vision (ICARCV),IEEE, 2018, pp. 862-867.

20.  Lv Y, Zhou J, Fu J, Wen G and Huang T. Consensus of multiple lur'e systems fordirected communication graphs with distributed adaptive relative outputfeedback protocol. Proceedings of the IEEE International Conference onIndustrial Technology, pp. 1430-1435, 2019.

21.  Lv Y, FuJ, Zhou J, Wen G and Yu X. "Distributed adaptive anti-windup consensustracking of networked systems with switching topologies." In 2019 IEEE28th International Symposium on Industrial Electronics (ISIE), pp. 1793-1798.IEEE, 2019.

22.  Fang X, Fu J and Lv Y. "Containment of Linear Multi-Agent Systems withReduced-Order Protocols Over Signed Graphs." In 2019 China-QatarInternational Workshop on Artificial Intelligence and Applications toIntelligent Manufacturing (AIAIM), pp. 6-10. IEEE, 2019.

23.  Zhao D and Fu J. "Observer-Based Adaptive Fault-Tolerant ConsensusTracking of Multi-Agent Systems." In 2019 China-Qatar InternationalWorkshop on Artificial Intelligence and Applications to IntelligentManufacturing (AIAIM), pp. 30-35. IEEE, 2019.

24.  FuJ, Lv Y, Zhou J and Wen G."Consensus Tracking of Second-order Multi-agent Systems With InputSaturation Under General Directed Communication Graph." In 2019 IEEE 28thInternational Symposium on Industrial Electronics (ISIE), pp. 1787-1792. IEEE,2019.

25.  FuJ, Wen G, Lv Y and HuangT. "Barrier Function Based Consensus of High-Order Nonlinear Multi-agentSystems with State Constraints." In International Conference on NeuralInformation Processing, pp. 492-503. Springer, Cham, 2019.

26.  Lv Y, Zhou J, Wen G, Fu J, Yu X, and Huang T. "Adaptive Attack-free Output-feedbackConsensus Protocol for Nonlinear MASs." In 2020 IEEE 16th InternationalConference on Control & Automation (ICCA), pp. 1296-1301. IEEE, 2020.

27.  Luo Z, FuJ, Liu Z, and Yu J. "Bayesian network based Ant Colony Optimizationalgorithm for USV path planning in a dynamic environment." In 2020 7thInternational Conference on Information, Cybernetics, and Computational SocialSystems (ICCSS), pp. 547-551. IEEE, 2020.

28.  Wen G, Lv Y, Zhou J, and Fu J. "Sufficient and NecessaryCondition for Resilient Consensus under Time-varying Topologies." In 20207th International Conference on Information, Cybernetics, and ComputationalSocial Systems (ICCSS), pp. 84-89. IEEE, 2020.

29.  Hu Y, FuJ and Lv Y. "A Class of Optimal Control Problem for StochasticDiscrete-Time Systems with Average Reward Reinforcement Learning." In 20214th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS),pp. 829-834. IEEE, 2021.

30.  Tang M and Fu J. "Nonparametric Adaptive Trajectory Tracking Control ofUncertain Euler-Lagrange Systems." In 2021 4th IEEE InternationalConference on Industrial Cyber-Physical Systems (ICPS), pp. 852-857. IEEE,2021.