Wei Zhang, Naixin Wang, Shilin Wei, Jia Zeng, and Wenhua Wu


  1. [1] J. Ni and S.X. Yang, Bioinspired neural network for real-timecooperative hunting by multirobots in unknown environments,IEEE Transactions on Neural Networks, 22(12), 2011, 2062–2077.
  2. [2] X. Cao, Z. Huang, and D. Zhu, AUV cooperative huntingalgorithm based on bio-inspired neural network for path conflictstate, IEEE International Conference on Information andAutomation, Lijiang, China, 2015.
  3. [3] X. Cao, H. Sun, and G.E. Jan, Multi-AUV cooperative targetsearch and tracking in unknown underwater environment,Ocean Engineering, 150(Feb. 15), 2018, 1–11.
  4. [4] M. Chen and D. Zhu, Multi-AUV cooperative hunting controlwith improved glasius bio-inspired neural network, The Journalof Navigation, 72(3), 2018, 1–18.
  5. [5] M. Chen and D. Zhu, A novel cooperative hunting algorithmfor inhomogeneous multiple autonomous underwater vehicles,IEEE Access, 6, 2018, 7818–7828.
  6. [6] Z. Huang, D. Zhu, and B. Sun, A multi-AUV cooperativehunting method in 3-D underwater environment with obstacle,Engineering Applications of Artificial Intelligence, 50(C), 2016,192–200.
  7. [7] X. Cao, D. Zhu, and S.X. Yang, Multi-AUV target searchingunder ocean current based on PPSO and velocity synthesisalgorithm, Underwater Technology, 33(1), 2015, 31–39.
  8. [8] Y. Cai, S.X. Yang, X. Xu, and G.S. Mittal, A hierarchicalreinforcement learning based approach for multi-robot coop-eration in unknown environments, Proceedings of the 20112nd International Congress on Computer Applications andComputational Science, 2011, 69–74.
  9. [9] M. Song, Research on Cooperative Multi-agent ReinforcementLearning with Pursuing Problem, doctoral diss., (College ofAutomation, Harbin Engineering University, Harbin, China,2005).
  10. [10] J. Ni, L. Yang, L. Wu, and X. Fan, An improved spinal neuralsystem-based approach for heterogeneous AUVs cooperativehunting, International Journal of Fuzzy Systems, 20, 2017,672–686.
  11. [11] H. Liang, Y. Fu, F. Kang, J. Gao, and N. Qiang, A behavior-driven coordination control framework for target hunting byUUV intelligent swarm. IEEE Acess, 8, 2020, 4838–4859.
  12. [12] X. Cao and L. Guo, A leader-follower formation control ap-proach for target hunting by multiple autonomous underwatervehicle in three-dimensional underwater environments, Inter-national Journal of Advanced Robotic Systems, 16(4), 2019,1–11.
  13. [13] Y. Cai, Z. Tang, and H. Zhang, Multi-robots cooperativehunting strategy based on Cross-EKF localization, ControlDecision, 25(9), 2010, 1313–1317+1323.
  14. [14] G. Rigatos, P. Siano, and G. Raffo, Target tracking by dis-tributed autonomous vessels using the derivative-free nonlinearKalman filter, 11th International Conference of ComputationalMethods in Sciences and Engineering, 2015.
  15. [15] L. Dong, H. Xu, X. Feng, and X. Han, An adaptive targettracking algorithm based on EKF for AUV with unknownnon-gaussian process noise, Applied Science, 10(10), 2020,3413.
  16. [16] G.B. Miller, B. Miller, A. Borisov, and A.V. Bosov, Passiveunderwater target tracking: conditionally minimax nonlinearfiltering with bearing-doppler observations, Sensors 20(8),2020, 2257.
  17. [17] Z. Yan, Y. Liu, J. Zhou, W. Zhang, and L. Wang, Consen-sus of multiple autonomous underwater vehicles with doubleindependent Markovian switching topologies and timevaryingdelays, Chinese Physics, 26(004), 2017, 75–86.
  18. [18] Z. Yan, Y. Liu, and C. Yu, Leader-following coordination ofmultiple UUVs formation under two independent topologiesand time-varying delays, Journal of Central South University,24(2), 2017, 382–393.
  19. [19] Y. Liu, Research on Coordination Control of Multiple Under-water Vehicles for Ocean Exploration, doctoral diss., (Collegeof Automation, Harbin Engineering University, Harbin, China,2017).
  20. [20] Z. Xu and A. Sheng, Observability for Two-dimensional SingleObserver Tracking Based on Bearing-only Measurements, ActaArmamentarii, 28(5), 2007, 617–620.
  21. [21] Y. Zhan, Research on Passive Bearings-Only Target MotionAnalysis Method, master’s diss., (School of marine scienceand technology, Northwestern Polytechnical University, Xi’an,China, 2001).
  22. [22] L. Mccue, Handbook of Marine Craft Hydrodynamics andMotion Control, IEEE Control Systems, 36(1), 2016, 78–79.
  23. [23] Thor I. Fossen, Handbook of Marine Craft Hydrodynamics andMotion Control, 1st ed. (Hoboken: Wiley, 2011).
  24. [24] F. Zhang, The Schur Complement and Its Applications, 1sted. (Boston: Springer US, 2005).
  25. [25] W. Yang, Consensus Problem in Multi-Agent Systems (Shang-hai Jiao Tong University, 2009).
  26. [26] W. Jian and S. Yang, Consensus in multi-agent systems withrandom delays governed by a Markov chain, Systems andControl Letters, 60(10), 2011, 863–870.

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