Cooperative Enclosing Control for Networked Unmanned Aerial Vehicles to Faster Target

北京 机电一体化 计算机科学 人工智能 运筹学 中国 工程类 地理 考古
作者
Lin Chen,Haibin Duan
出处
期刊:Journal of Guidance Control and Dynamics [American Institute of Aeronautics and Astronautics]
卷期号:47 (2): 366-374 被引量:4
标识
DOI:10.2514/1.g007535
摘要

No AccessEngineering NotesCooperative Enclosing Control for Networked Unmanned Aerial Vehicles to Faster TargetLin Chen and Haibin DuanLin Chen https://orcid.org/0000-0002-2775-9012Beihang University, 100083 Beijing, People’s Republic of China and Haibin DuanBeihang University, 100083 Beijing, People’s Republic of ChinaPublished Online:29 Dec 2023https://doi.org/10.2514/1.G007535SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Zhao W. Q., Meng Q. G. and Chung P. W. H., “A Heuristic Distributed Task Allocation Method for Multivehicle Multitask Problems and Its Application to Search and Rescue Scenario,” IEEE Transactions on Cybernetics, Vol. 46, No. 4, 2016, pp. 902–915. https://doi.org/10.1109/TCYB.2015.2418052 CrossrefGoogle Scholar[2] Duan H. B. and Zhang D. 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F., Duan H. B. and Zeng Z. G., “Leader-Follower Interactive Potential for Target Enclosing of Perception-Limited UAV Groups,” IEEE Systems Journal, Vol. 16, No. 1, 2022, pp. 856–867. https://doi.org/10.1109/JSYST.2021.3102297 CrossrefGoogle Scholar[15] Goldsmith A., Wireless Communications, Cambridge Univ. Press, Cambridge, England, U.K., 2005, pp. 27–29. Google Scholar[16] Carrillo L. R. G., López A. E. D. and Lozano R., Quad Rotorcraft Control: Vision-Based Hovering and Navigation, Springer–Verlag, Berlin, 2013, pp. 25–31. Google Scholar[17] Qi J. T., Guo J. J., Wang M. M., Wu C. and Ma Z. W., “Formation Tracking and Obstacle Avoidance for Multiple Quadrotors with Static and Dynamic Obstacles,” IEEE Robotics and Automation Letters, Vol. 7, No. 2, 2022, pp. 1713–1720. https://doi.org/10.1109/LRA.2022.3140830 Google Scholar[18] Olfati-Saber R., “Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory,” IEEE Transactions on Automatic Control, Vol. 51, No. 3, 2006, pp. 401–420. https://doi.org/10.1109/TAC.2005.864190 CrossrefGoogle Scholar[19] Chen J., Zha W. Z., Peng Z. H. and Gu D. B., “Multi-Player Pursuit-Evasion Games with One Superior Evader,” Automatica, Vol. 71, Sept. 2016, pp. 24–32. https://doi.org/10.1016/j.automatica.2016.04.012 CrossrefGoogle Scholar[20] Isaacs R., Differential Games: A Mathematical Theory with Applications to Warfare and Pursuit, Control and Optimization, Wiley, New York, 1965. Google Scholar[21] Ramana M. V. and Kothari M., “Pursuit-Evasion Games of High Speed Evader,” Journal of Intelligent & Robotic Systems, Vol. 85, No. 2, 2017, pp. 293–306. https://doi.org/10.1007/s10846-016-0379-3 CrossrefGoogle Scholar[22] Chen L., Wei C. and Duan H. B., “Multiple Unmanned Aerial Vehicles Coalition Formation and Control for Collaborative Defense Mission,” IEEE Aerospace and Electronic Systems Magazine, 2023 (Submitted for Publication). Google Scholar[23] Poveda J. I. and Krstic M., “Nonsmooth Extremum Seeking Control with User-Prescribed Fixed-Time Convergence,” IEEE Transactions on Automatic Control, Vol. 66, No. 12, 2021, pp. 6156–6163. https://doi.org/10.1109/TAC.2021.3063700 Google Scholar[24] Li C. Y., Qu Z. H. and Weitnauer M. A., “Distributed Extremum Seeking and Formation Control for Nonholonomic Mobile Network,” Systems & Control Letters, Vol. 75, Jan. 2015, pp. 27–34. https://doi.org/10.1016/j.sysconle.2014.11.005 Google Scholar Previous article Next article FiguresReferencesRelatedDetails What's Popular Volume 47, Number 2February 2024 Metrics CrossmarkInformationCopyright © 2023 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-3884 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp. TopicsAircraft Operations and TechnologyAircraftsAlgorithms and Data StructuresArtificial IntelligenceCommunication SystemComputing, Information, and CommunicationData ScienceGuidance, Navigation, and Control SystemsOptimization AlgorithmRoboticsRobotics SystemsSearch AlgorithmUnmanned Aerial Vehicle KeywordsUnmanned Aerial VehicleCommunication ChannelsReal Time OptimizationFlight TrajectoryArtificial IntelligenceOptimization AlgorithmApplied MathematicsArtificial Potential FieldsMulti Agent SystemAlgorithms and Data StructuresAcknowledgmentsThis work was partially supported by Science and Technology Innovation 2030-Key Project of “New Generation Artificial Intelligence” under grant number 2018AAA0102303 and National Natural Science Foundation of China under grant numbers 91948204, U20B2071, T2121003, and U1913602.Digital Received11 February 2023Accepted8 November 2023Published online29 December 2023

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