Survey on Fuzzy-Logic-Based Guidance and Control of Marine Surface Vehicles and Underwater Vehicles
By Xianbo Xiang, Caoyang Yu, L. Lapierre, Jialei Zhang, Qin Zhang. International Journal of Fuzzy Systems, 2018
334 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/211c3c9521c3330f62052f8af606fea64126768c
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In Computer Vision and Pattern Recognition
In Control and Systems Engineering
In Ocean Engineering
Citations in the corpus
- An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles (2021, methodology): “Existing methods range from adaptive control [26]–[28], sliding model control [29], [30], robust control [26], neural network control [23], [31]–[33], fuzzy control [8], [24], [34], disturbance-observer-based control [35]–[37], to extended-state-observer (ESO)-based control [38], [39].”