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Multi-Model Safe Neuro-Optimal Output Tracking Control of Autonomous Surface Vessels with Explainable AI

  • Missouri University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2025 IEEE Conference on Control Technology and Applications, CCTA 2025
EditorsChristopher Vermillion, Sorin Olaru, Johanna Mathieu, Mehmet Mercangoz, Stephanie Stockar, Alireza Karimi, Timm Faulwasser, Eric Kerrigan, Rolf Fineisen, Sebastien Gros, Ionela Prodan, Christopher Edwards, Fabrizio Dabbene, Airlie Chapman, Behrouz Touri
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages540-545
Number of pages6
ISBN (Electronic)9798331539085
DOIs
StatePublished - 2025
Event9th IEEE Conference on Control Technology and Applications, CCTA 2025 - San Diego, United States
Duration: Aug 25 2025Aug 27 2025

Publication series

Name2025 IEEE Conference on Control Technology and Applications, CCTA 2025

Conference

Conference9th IEEE Conference on Control Technology and Applications, CCTA 2025
Country/TerritoryUnited States
CitySan Diego
Period8/25/258/27/25

ASJC Scopus Subject Areas

  • Control and Systems Engineering
  • Control and Optimization

Keywords

  • Approximate dynamic programming
  • Autonomous Surface Vessels
  • Deep reinforcement learning
  • Safety

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