Development and path planning of a novel unmanned surface vehicle system and its application to exploitation of Qarhan Salt Lake

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References

  1. 1

    Ge X X, Fan Q S, Wei H C, et al. The characteristics of the mineral assemblage and the forming clue in Qarhan Salt Lake. J Salt Lake Res, 2017, 25: 47–54

    Google Scholar 

  2. 2

    Cao M M, Zhang Z H, Zhao D M. Simulated evaporation calculation of brine in Qarhan Salt Lake. J Salt Lake Res, 2017, 25: 33–40

    Google Scholar 

  3. 3

    Suh J, Gong J, Oh S. Fast sampling-based cost-aware path planning with nonmyopic extensions using cross entropy. IEEE Trans Robot, 2017, 33: 1313–1326

    Article  Google Scholar 

  4. 4

    Li G S, Chou W S. Path planning for mobile robot using self-adaptive learning particle swarm optimization. Sci China Inf Sci, 2018, 61: 052204

    MathSciNet  Article  Google Scholar 

  5. 5

    Liu J C, Wu Z X, Yu J Z, et al. Sliding mode fuzzy control-based path-following control for a dolphin robot. Sci China Inf Sci, 2018, 61: 024201

    MathSciNet  Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Key Research and Development and Transformation Project of Qinghai Province (Grant No. 2017-GX-103), and National Natural Science Foundation of China (Grant Nos. 61663040, 61725305, 61633017, 61603388).

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Correspondence to Junzhi Yu.

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Development and Path Planning of a Novel Unmanned Surface Vehicle System and Its Application to Exploitation of Qarhan Salt Lake

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Xue, Z., Liu, J., Wu, Z. et al. Development and path planning of a novel unmanned surface vehicle system and its application to exploitation of Qarhan Salt Lake. Sci. China Inf. Sci. 62, 84202 (2019). https://doi.org/10.1007/s11432-018-9723-5

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