Adaptive Formation Tracking Control of Directed Networked Vehicles in a Time-Varying Flowfield

No AccessEngineering NotesAdaptive Formation Tracking Control of Directed Networked Vehicles in a Time-Varying FlowfieldYang-Yang Chen, Kaiwen Chen and Alessandro AstolfiYang-Yang https://orcid.org/0000-0003-0136-0174Southeast University, 210096 Nanjing, People’s Republic China*Associate Professor, School Automation Key Laboratory Measurement Complex Systems Engineering, Ministry Education; .Search for more papers by this author, https://orcid.org/0000-0001-6816-6910Imperial College London, England SW7 2AZ, United Kingdom†Ph.D. Student, Department Electrical Electronic Engineering; author Astolfi https://orcid.org/0000-0002-4331-454XImperial Kingdom‡Professor, also Civil Engineering Computer Science University Rome Tor Vergata, 00133 Rome, Italy; authorPublished Online:3 Jun 2021https://doi.org/10.2514/1.G005822SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Gurfil P., Idan M. Kasdin N. 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All rights reserved. requests copying permission reprint should be submitted CCC at www.copyright.com; employ eISSN 1533-3884 initiate your request. See AIAA Rights Permissions www.aiaa.org/randp. TopicsAir NavigationBIBO StabilityControl TheoryGuidance, Navigation, SystemsInterdisciplinary TopicsRadio NavigationVehicle TechnologyWatercraft KeywordsClosed Loop SystemAutonomous Underwater VehicleBounded SignalsSpacecraft FlyingPlanetary ExplorationNavigation BeaconNoise AttenuationFormation FlyingNeural NetworksFlow VelocityAcknowledgmentsThis work has been partially supported National Natural Foundation China under Grant 61673106, 61973074, European Union’s Horizon 2020 Research Innovation Programme grant agreement no. 739551 (The KIOS Centre Excellence (KIOS CoE)), Italian framework 2017 Program Projects Interest, 2017YKXYXJ.PDF Received25 November 2020Accepted15 April 2021Published online3 June