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Each UAV (i) operates its own dynamic feedback loop, in a receding horizon framework, incorporating local information on the targets (from UAV i perspective) as well as remote information on the targets (from the perspective of the \u2018neighbor\u2019 UAVs) to determine the optimal flight path of UAV i over the planning horizon. This results in a decentralized and more realistic model of the real-world situation. As the flight-plan optimization formulation is NP-hard, a new heuristic for continuous global optimization is applied to solve for the flight plan. Results show that efficient flight patterns for the UAVs can be achieved.<\/p>","DOI":"10.4018\/joris.2012010104","type":"journal-article","created":{"date-parts":[[2012,1,13]],"date-time":"2012-01-13T08:41:08Z","timestamp":1326444068000},"page":"53-73","source":"Crossref","is-referenced-by-count":11,"title":["Cooperative Tracking of Multiple Targets by a Team of Autonomous UAVs"],"prefix":"10.4018","volume":"3","author":[{"given":"Michael J.","family":"Hirsch","sequence":"first","affiliation":[{"name":"Raytheon Company, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H\u00e9ctor J.","family":"Ortiz-Pe\u00f1a","sequence":"additional","affiliation":[{"name":"CUBRC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chris","family":"Eck","sequence":"additional","affiliation":[{"name":"Raytheon Company, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"joris.2012010104-0","unstructured":"Ahmadzadeh, A., Buchman, G., Cheng, P., Jadbabaie, A., Keller, J., Kumar, V., & Pappas, G. 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