Balancing accuracy and convergence rate: a hybrid optimisation algorithm for parameter identification of unmanned marine vehicles
In this paper, a novel and well-balanced hybrid optimisation algorithm called NMA is proposed for parameter identification of a coupled three-degree-of-freedom unmanned marine vehicle in the presence of measurement noise. Firstly, a multi-step iterative prediction model is designed as identification...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Engineering Applications of Computational Fluid Mechanics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2025.2503779 |
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