Fault-tolerant model predictive control for unmanned surface vehicles
Unmanned surface vehicles (USVs) require robust control systems capable of adeptly compensating for potential faults to ensure operational safety and successful task execution. Addressing this requirement, we present a novel approach for computing control inputs of USVs under fault-prone conditions....
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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: | Systems Science & Control Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2025.2469598 |
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