{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T12:21:22Z","timestamp":1784636482884,"version":"3.55.0"},"reference-count":34,"publisher":"SAGE Publications","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,4,12]]},"abstract":"<jats:p>At present, the UAV swarm positioning solution has the problems of poor positioning accuracy and instability. Therefore, it is necessary to design a sliding mode formation controller to realize formation. This study analyzes the self-service control strategy of the UAV swarm and establishes the behavior-based formation control strategy as the main research point of this article. This paper combines the Internet of Things and artificial intelligence algorithms to build an autonomous control model for the UAV swarm and designs the UAV formation control law from the disturbed and undisturbed conditions respectively. With reference to the basic architecture of the Internet of Things, this study imitates ZigBee\u2019s self-organizing network to propose an adaptive networking scheme based on the Internet of Things by using the AP+STA working mode of the Internet of Things module in the node device. The results of the experiment show that the positioning accuracy of the UAV is high, which can meet the needs of cluster flight. Based on the Z-axis coordinates of the UAV, the accuracy of the laser distance measurement and the barometer value is significantly improved, the root mean square error is reduced, and the\u00a0positioning result is significantly better than the data of direct traditional positioning.<\/jats:p>","DOI":"10.3233\/jifs-189541","type":"journal-article","created":{"date-parts":[[2020,12,18]],"date-time":"2020-12-18T10:19:26Z","timestamp":1608286766000},"page":"7121-7133","source":"Crossref","is-referenced-by-count":12,"title":["UAV swarm autonomous control based on Internet of Things and artificial intelligence algorithms"],"prefix":"10.1177","volume":"40","author":[{"given":"Xinhua","family":"Wang","sequence":"first","affiliation":[{"name":"Collage of Automation Engineer, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanyu","family":"Chen","sequence":"additional","affiliation":[{"name":"Collage of Automation Engineer, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huajun","family":"Gong","sequence":"additional","affiliation":[{"name":"Collage of Automation Engineer, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ju","family":"Jiang","sequence":"additional","affiliation":[{"name":"Collage of Automation Engineer, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","reference":[{"issue":"3","key":"10.3233\/JIFS-189541_ref1","doi-asserted-by":"crossref","first-page":"2362","DOI":"10.1109\/LRA.2018.2810955","article-title":"Flyjacket: An upper body soft exoskeleton for immersive drone control[J]","volume":"3","author":"Rognon","year":"2018","journal-title":"IEEE Robotics and Automation Letters"},{"issue":"4","key":"10.3233\/JIFS-189541_ref2","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.1109\/TVCG.2018.2794058","article-title":"Drone-augmented human vision: Exocentric control for drones exploring hidden areas[J]","volume":"24","author":"Erat","year":"2018","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"issue":"1","key":"10.3233\/JIFS-189541_ref3","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1109\/TCOMM.2018.2871453","article-title":"Communications and control for wireless drone-based antenna array[J]","volume":"67","author":"Mozaffari","year":"2018","journal-title":"IEEE Transactions on Communications"},{"issue":"1\u20134","key":"10.3233\/JIFS-189541_ref4","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1007\/s10846-016-0355-y","article-title":"Navigation and cooperative control using the ar. drone quadrotor[J]","volume":"84","author":"Santana","year":"2016","journal-title":"Journal of Intelligent & Robotic Systems"},{"issue":"APISAT-2013","key":"10.3233\/JIFS-189541_ref5","doi-asserted-by":"crossref","first-page":"a59","DOI":"10.2322\/tastj.12.a59","article-title":"Development of Multiple AR. 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