Journal Paper

1. Fu J. Lv Y, Yu W, Robust adaptive time-varying region tracking control of multi-robot systems. Science China. Volume 66, Issue 5: 159202 (2023)

2. Fu J, Wen G, Yu X, Huang T, Robust barrier function based tracking and collision avoidance. IEEE Transactions on Cybernetics. Doi:10.1109/TCYB.2023.3248125

3. C. Hu, J. Fu, G. Wen, S. Wang, W. Yu. Distributed Multi-Agent Reinforcement Learning with Action Networks for Dynamic Economic Dispatch, IEEE Transactions on Neural Networks and Learning Systems. Doi: 10.1109/TNNLS.2023.3234049

4. G. Wen, Y. Lv, W. X. Zheng, J. Zhou, J. Fu, Joint Robustness of Time-Varying Networks and Its Applications to Resilient Consensus, IEEE Transactions on Automatic Control. Doi: 10.1109/TAC.2023.3237493

5. G. Wen, T. Yang, J. Zhou, J. Fu, L. Xu. 强化学习与自适应动态规划:从基础理论到多智能体系统中的应用进展综述，控制与决策，2023

6. D. Liu, M. Tang, J. Fu*, Gaussian process based robust adaptive trajectory tracking for unicycles with stability guarantees, Systems and Control Letters, vol. 163, 105210, 2022. 

7. J. Fu, G. Wen, X. Yu, Z. Wu, Velocity and input constrainted formation control with collision avoidance  and connectivity maintainence. IEEE Transactions on Cybernetics. vol. 52, no. 4, 2149-2162, 2022

8. Hu Y, Fu J*, Wen G, Decentralized robust collision avoidance for cooperative multi-robot systems: A Gaussian process based control barrier function approach.  IEEE Transactions on Control of Networked Systems. Doi: 10.1109/TCNS.2022.3203928

9. Hu Y, Fu J*, Wen G, Safe Reinforcement Learning for Model-Reference Trajectory Tracking of Uncertain Unicycle Robots with Model-Based Acceleration.  IEEE Transactions on Intelligent Vehicles. Doi: 10.1109/TIV.2022.3233592

10. T. Liu, M. Liu, G. Wen, Y. Lv and J. Fu, Consensus of Linear MIMO Multiagent Systems: Appointed-Time Reduced-Order Observer-Based Protocols,  IEEE Transactions on Cybernetics, vol.52 no. 10, pp. 10604-10610, 2022

11. 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, vol. 8, no. 3, 2342-2354, 2021. 

12. Y. Lv, J. Fu, G. Wen, T. Huang and X. Yu, Fully Distributed Anti-Windup Consensus Protocols for Linear MASs With Input Saturation: The Case With Directed Topology, IEEE Transactions on Cybernetics. vol. 51, no. 5, pp. 2359-2371, May 2021

13. G. Wen, X. Yu, J. Fu, H. Wang and W. Yu, “Fast distributed average tracking in multi-agent networks: The case with general linear agent dynamics,” IEEE Transactions on Control of Network Systems, vol.8 no. 2, pp. 997-1009,2021

14. T. Fang, W. Yu, J. Fu, W. Gu, J. Gu. Distributed  optimization of multi-agent systems subject to inequality constraints. IEEE Transactions on Cybernetics .vol. 51, no. 4, pp. 2232-2241，2021

15. J. Fu, Y. Lv, G. Wen, X. Yu, Huang  T,  Velocity and input constrained coordination of second-order multi-agent systems with relative output information. IEEE Transactions on Network Science and Engineering. vol. 7, no. 3, pp. 1925-1938, 2020.

16. J. Fu, Y. Wan, T. Huang. Event-triggered finite-time practical consensus of multiagent systems with general directed communication graphs. International Journal of Robust and Nonlinear Control. vol. 30, pp. 7255-7277, 2020.

17. Y. Lv, J. Fu, G. Wen, X. Yu, Distributed adaptive observer-based control for output consensus of heterogeneous MASs with input saturation constrain.  IEEE Transactions on Circuits and Systems I: Regular Papers. vol. 67,no. 3, 995-1007, 2020.

18. Y. Lv, J. Fu, G. Wen, X. Yu, T. Huang. On Consensus of Multi-agent Systems with Input Saturation: Fully Distributed Adaptive Anti-windup Protocol Design Approach. IEEE Transactions on Control of Network Systems. vol.7 no.3  1127-1139, 2020.

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

20. W. Zhang, J. Qin, F. Mei, J. Fu, B. Dai and W. Yu. Short-term power load forecasting using integrated methods based on long short-term memory[J]. Science China(Technological Sciences),  063(004):P.614-624, 2020.

21. J. Fu, Y. Wan, G. Wen and T. Huang. Distributed Robust Global Containment Control of Second-Order Multi-Agent Systems With Input Saturation. IEEE Transactions on Control of Networked Systems. vol.6, no. 4, pp. 1426-1437, 2019.

22. J. Fu , G. Wen, W. Yu, T. Huang, X. Yu,  Second-order consensus with both input and velocity constraints. IEEE Transactions on Industrial Electronics.  vol. 66, no. 10, pp. 7946-7955, Oct. 2019.

23. J. Fu, G. Wen, T. Huang and Z. Duan. Consensus of multi-agent systems with heterogeneous asymmetrical input saturation levels. IEEE Transactions on Circuits and Systems II: Express Briefs. vol. 66, no. 6, pp. 1053-1057, June. 2019. 

24. J. Fu, Y. Lv, T. Huang. Distributed anti-windup approach for consensus tracking for second-order multi-agent systems with input saturation [J]. Systems and Control Letters, vol. 130, pp. 1-6, 2019.

25. J. Fu, Q. Wang and J. Wang. Robust finite-time consensus tracking for second-order multi-agent systems with input saturation under general directed communication graphs [J]. International Journal of Control. vol. 92, no. 8, 1785-1795, 2019.

26. H. Hong, W. Yu, J.Fu, X.Yu X. A novel class of distributed protocols for fixed-time consensus of second-order nonlinear and disturbed multi-agent systems. IEEE Transactions on Network Science and Engineering. vol. 6, no. 4, 760-772, October 2019

27. H. Hong, W. Yu, J. Fu, X. Yu. Finite-time connectivity-preserving consensus for second-order nonlinear multi-agent systems [J]. IEEE Transactions on Control of Network Systems. vol. 6, no. 1, pp. 236-248, March 2019.

28. Y. Yao, F. Tian, F. Mei, J. Fu, B. Dai, W. Yu. Dynamical economic dispatch using distributed barrier function-based optimization algorithm. Science China(Technological Sciences) 12, 2019.

29. J. Fu, G. Wen, W. Yu, T. Huang and J. Cao, Exponential consensus of multi-agent systems with Lipschitz nonlinearities using sampled-data information, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 12, pp. 4363-4375, 2018.

30. Q. Wang, J. Fu and J. Wang. Cooperative tracking for high-order nonlinear multi-agent systems via adaptive control [J]. IET control theory and applications, 12(11): 1592-1600, 2018.

31. J. Fu, G. Wen, W. Yu and Z. Ding. Finite-time consensus for second-order multi-agent systems with input saturation [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 11, pp. 1758-1762, 2017.

32. J. Fu, J. Wang and Z. Li. Leader-following control of perturbed second-order integrator systems with binary relative information [J]. International Journal of Systems Science, 48(3): 485-493, 2017.

33. J. Fuang J. Wang. Finite-time consensus for multi-agent systems with globally bounded convergence time under directed communication graphs [J]. International Journal of Control, 90(9): 1807-1817, 2017.

34. Q. Wang, J. Fu, and J. Wang Fully distributed containment control of high-order multi-agent systems with nonlinear dynamics [J]. Systems & Control Letters, vol. 99, pp. 33-39, 2017.

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

36. J. Fu and J. Wang. Fixed-time coordinated tracking for second-order multi-agent systems with bounded input uncertainties [J]. Systems and Control Letters, vol. 93, pp. 1-12, 2016.

37. J.Fu and J. Wang. Robust finite-time containment control for high-order multi-agent systems with matched uncertainties under directed communication graphs [J]. International Journal of Control, 89(6): 1137-1151, 2016.

38. J. Fu ang J. Wang. Robust finite-time containment control of general linear multi-agent systems under directed communication graphs. Journal of the Franklin Institute, 353(12): 2670-2689, 2016.

39. J. Fu and J. Wang. Adaptive motion coordination of passive systems under quantization effect [J]. International Journal of Robust and Nonlinear Control, 25(11): 1638-1653, 2015.

40. J. Fu ang J. Wang. Output consensus of heterogeneous linear systems with quantized information [J]. Journal of the Franklin Institute, 351(3): 1400-1418, 2014.

41. J. Fu ang J. Wang. Adaptive consensus tracking of high-order nonlinear multi-agent systems with directed communication graphs [J]. International Journal of Control, Automation and Systems, 12(5): 919-929, 2014.

42. J. Fu and J. Wang. Adaptive coordinated tracking of multi-agent systems with quantized information [J]. Systems and Control Letters, vol. 74, pp. 115-125, 2014.

Conference Paper

1. Fu J,WangJ.Adaptiveconsensustrackingoflinearmulti-agentsystemswithmatching nonlinear uncertainties[C]//Control Conference (CCC), 201332ndChinese. IEEE, 2013:6773-6778.

2. Fu J,WangJ.Leader-followingcontrolofsecond-orderintegratorsystemsusingbinaryinformation[C]//Control and Decision Conference (2014 CCDC), The 26th Chinese. IEEE, 2014: 263-268.

3. 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.

4. 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. 

5. 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.

6. 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 

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. Fu J, Tan Y and 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.

13. Fu J. Tan Y, Wang J, Wen G. Sampled-data leader-following rendezvous with input saturation[C]// Control & Automation (ICCA), 14th IEEE International Conference on. IEEE, 2017. 

14. Xiaoli Li, Ying Tan, Junjie Fu, Iven Mareels. On V-Shaped Flight Formation of Bird Flocks with Visual Communication Constraints. Control & Automation (ICCA), 14th IEEE International Conference on. IEEE, 2017. 

15. Fu J. Wen G, Yu W. Consensus tracking of second-order multi-agent systems with input saturation under sampled-data communication [C]// The 2017 Chinese Automation Congress. IEEE, 2017.

16. Hong, Huifen, Wenwu Yu, Guanghui Wen, and Junjie Fu. Robust consensus tracking for heterogeneous linear multi-agent systems with disturbances. In2017 11th Asian Control Conference (ASCC), pp. 729-734. IEEE, 2017.

17. Fu, Junjie, and Guanghui Wen. Sampled-data consensus of Lipschitz nonlinear multi-agent systems under directed communication graphs.2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, 2018.

18. Fu, Junjie, and Jinzhi Wang. Robust Global Finite-time Attitude Coordination for Multiple Spacecraft.2018 37th Chinese Control Conference (CCC). IEEE, 2018.

19. Fu, Junjie, Tingwen Huang, and Guanghui Wen. Global Leader-following Control of Multiple Non-holonomic Mobile Robots With Input Saturation. In2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 862-867. IEEE, 2018.

20. Lv, Yuezu, Zhou, Jialing, Fu, Junjie ,Wen, Guanghui, Huang, Tingwen. Consensus of multiple lur'e systems for directed communication graphs with distributed adaptive relative output feedback protocol. Proceedings of the IEEE International Conference on Industrial Technology, pp. 1430-1435, 2019.

21. Lv, Yueze, Fu Junjie, Zhou Jialing, Wen Guanghui, and Yu Xinghuo. Distributed adaptive anti-windup consensus tracking of networked systems with switching topologies. In2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), pp. 1793-1798. IEEE, 2019.

22. Fang, Xiao, Junjie Fu, and Yuezu Lv. Containment of Linear Multi-Agent Systems with Reduced-Order Protocols Over Signed Graphs. In2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM), pp. 6-10. IEEE, 2019.

23. Zhao, Dan, and Junjie Fu. Observer-Based Adaptive Fault-Tolerant Consensus Tracking of Multi-Agent Systems. In2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM), pp. 30-35. IEEE, 2019.

24. Fu, Junjie, Yuezu Lv, Jialing Zhou, and Guanghui Wen. Consensus Tracking of Second-order Multi-agent Systems With Input Saturation Under General Directed Communication Graph. In2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), pp. 1787-1792. IEEE, 2019.

25. Fu, Junjie, Guanghui Wen, Yuezu Lv, and Tingwen Huang. Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints. InInternational Conference on Neural Information Processing, pp. 492-503. Springer, Cham, 2019.

26. Yuezu Lv, Jialing Zhou, Guanghui Wen, Junjie Fu, Xinghuo Yu, Tingwen Huang, Adaptive Attack-Free Output-Feedback Consensus Protocol for Nonlinear MASs, ICCA, 2020.

27. Zhongjing Luo, Jiahui Yu, Junjie Fu and Zhaohui Liu, Bayesian network based Ant Colony Optimization algorithm for USV path planning in a dynamic environment, ICCSS, 2020.

28. Guanghui Wen, Yuezu Lv, Jialing Zhou and Junjie Fu, Sufficient and Necessary Condition for Resilient Consensus under Time-varying Topologies. ICCSS, 2020.

29. Hu Y, Fu J and Lv Y. A Class of Optimal Control Problem for Stochastic Discrete-Time Systems with Average Reward Reinforcement Learning. In 2021 4th 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 of Uncertain Euler-Lagrange Systems. In 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), pp. 852-857. IEEE, 2021.

31. Ye Wang, Meiqi Tang, Junjie Fu, Adaptive Coverage Control for Multi-agent Systems in Unknown Environments，CCSCC, 2021

32. Lei Yaqing, Ying Wan, Junjie Fu, NSGA-II based Electric Vehicle Charging Scheduling for DailyCommuting, 2022 CCDC

33. Dan Liu, Junjie Fu Gaussian Process Based Trajectory Tracking for Nonholonomic Robots with Velocity Constraints. ICIT, 2022 

34. Xiaoyu Chen, Junjie Fu, Jialing Zhou, Yuheng Li, Distributed reinforcement learning algorithm for multi-wave fire fighting scheduling problem, IFAC LLS, 2022

35. Yuheng Li, Chunfang Hu, Junjie Fu, Shuai Wang, Dynamic economic dispatch of thermal-wind-storage systems based on reinforcement learning, DOCS, 2022

36. Jian Hu, Junjie Fu Collision Avoidance Formation Navigation of Multiple Rectangle-shaped Agents Based on Distributed Model Predictive Control, ICARM, 2022

37. Junjie Fu Data-driven robust distributed MPC for collision avoidance formation navigation of constrained nonholonomic multi-robot systems, DOCS, 2022

38. Junjie Fu Gaussian process based non-myopic cooperative exploration of multi-robot systems, ICUS,2022