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A Hybrid Tracking Control Strategy for an Unmanned Underwater Vehicle Aided with Bioinspired Neural Dynamics

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dc.contributor.authorXu Z
dc.contributor.authorYan T
dc.contributor.authorYang SX
dc.contributor.authorGadsden SA
dc.contributor.departmentMechanical Engineering
dc.date.accessioned2025-03-03T23:38:40Z
dc.date.available2025-03-03T23:38:40Z
dc.date.issued2022-09-03
dc.date.updated2025-03-03T23:38:39Z
dc.identifier.doihttps://doi.org/10.48550/arxiv.2209.01484
dc.identifier.urihttp://hdl.handle.net/11375/31372
dc.subject40 Engineering
dc.subject46 Information and Computing Sciences
dc.subject4007 Control Engineering, Mechatronics and Robotics
dc.subject4602 Artificial Intelligence
dc.subject4010 Engineering Practice and Education
dc.titleA Hybrid Tracking Control Strategy for an Unmanned Underwater Vehicle Aided with Bioinspired Neural Dynamics
dc.typeArticle

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