{"title":"基于GDMPC-MOABC的协同作战系统中UCRNs的最优调整","authors":"Y. Zhong, L. Wan","doi":"10.1109/icicn52636.2021.9673839","DOIUrl":null,"url":null,"abstract":"Aiming at the optimal adjustment of unmanned communication relay nodes (UCRNs) problem in manned/ unmanned aerial vehicle cooperative engagement system, this paper established a two–layer mathematical model to describe it and solved it through a greedy distributed model predictive control (GDMPC) and multi–objective artificial bee colony (MOABC) method. Problem description and element definition, kinematic model of unmanned communication relay nodes, modeling of the problem, GDMPC framework and subsystem optimization solution based on MOABC were in sequence presented, and finally, simulation experiments were carried on to verify the correctness of the model and the effectiveness of the algorithm.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Adjustment of UCRNs in Cooperative Engagement System Based on GDMPC-MOABC\",\"authors\":\"Y. Zhong, L. Wan\",\"doi\":\"10.1109/icicn52636.2021.9673839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the optimal adjustment of unmanned communication relay nodes (UCRNs) problem in manned/ unmanned aerial vehicle cooperative engagement system, this paper established a two–layer mathematical model to describe it and solved it through a greedy distributed model predictive control (GDMPC) and multi–objective artificial bee colony (MOABC) method. Problem description and element definition, kinematic model of unmanned communication relay nodes, modeling of the problem, GDMPC framework and subsystem optimization solution based on MOABC were in sequence presented, and finally, simulation experiments were carried on to verify the correctness of the model and the effectiveness of the algorithm.\",\"PeriodicalId\":231379,\"journal\":{\"name\":\"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icicn52636.2021.9673839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icicn52636.2021.9673839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Adjustment of UCRNs in Cooperative Engagement System Based on GDMPC-MOABC
Aiming at the optimal adjustment of unmanned communication relay nodes (UCRNs) problem in manned/ unmanned aerial vehicle cooperative engagement system, this paper established a two–layer mathematical model to describe it and solved it through a greedy distributed model predictive control (GDMPC) and multi–objective artificial bee colony (MOABC) method. Problem description and element definition, kinematic model of unmanned communication relay nodes, modeling of the problem, GDMPC framework and subsystem optimization solution based on MOABC were in sequence presented, and finally, simulation experiments were carried on to verify the correctness of the model and the effectiveness of the algorithm.
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