A Novel Robust Control and Optimal Design for Fuzzy Unmanned Surface Vehicles (USVs)
Author:
Funder
Jing Ying Ji Hua
National Natural Science Foundation of China
Shandong Provincial Postdoctoral Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40815-024-01767-3.pdf
Reference47 articles.
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2. Chen, Z., Zhang, Y.M., Zhang, Y.G., Nie, Y., Tang, J.Z., Zhu, S.Q.: A hybrid path planning algorithm for unmanned surface vehicles in complex environment with dynamic obstacles. IEEE Access 7, 126439–126449 (2019)
3. Qin, H.D., Si, J.S., Wang, N., Gao, L.Y., Shao, K.J.: Disturbance estimator-based nonsingular fast fuzzy terminal sliding-mode formation control of autonomous underwater vehicles. Int. J. Fuzzy Syst. 25(1), 395–406 (2023)
4. Wang, N., Xu, H.W., Li, C.Z., Yin, J.C.: Hierarchical path planning of unmanned surface vehicles: a fuzzy artificial potential field approach. Int. J. Fuzzy Syst. 23(6), 1797–1808 (2020)
5. Wang, S.W., Ma, F., Yan, X.P., Wu, P., Liu, Y.C.: Adaptive and extendable control of unmanned surface vehicle formations using distributed deep reinforcement learning. Appl. Ocean Res. 110(7), 102590 (2021)
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