• Electronics Optics & Control
  • Vol. 29, Issue 11, 17 (2022)
MA Hongchao1, DAI Xiaoqiang2, ZENG Qingjun2, XIA Nan2, and GUO Yuqing2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2022.11.004 Cite this Article
    MA Hongchao, DAI Xiaoqiang, ZENG Qingjun, XIA Nan, GUO Yuqing. Dual Closed-Loop AUV Trajectory Tracking Control Based on Finite Time and State Observer[J]. Electronics Optics & Control, 2022, 29(11): 17 Copy Citation Text show less
    References

    [1] YAN Z P,WANG M,XU J.Global adaptive neural network control of underactuated autonomous underwater vehicles with parametric modeling uncertainty[J].Asian Journal of Control,2019,21(3):8-16.

    [2] YAN Z P,GONG P,ZHANG W,et al.Model predictive control of autonomous underwater vehicles for trajectory tracking with external disturbances [J].Ocean Engineering,2020(87):147-154.

    [3] LI D,DU L.AUV trajectory tracking models and control strategies:a review[J].Journal of Marine Science and Engineering,2021,9(9):89-94.

    [4] LEI M,LI Y,PANG S.Extended state observer-based composite-system control for trajectory tracking of underactuated AUVs[J].Applied Ocean Research,2021,112(7):65-73.

    MA Hongchao, DAI Xiaoqiang, ZENG Qingjun, XIA Nan, GUO Yuqing. Dual Closed-Loop AUV Trajectory Tracking Control Based on Finite Time and State Observer[J]. Electronics Optics & Control, 2022, 29(11): 17
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