{"title":"基于C-C-C级路径的无人机最优路径规划","authors":"Hong Wong, V. Kapila, Ravi Vaidyanathan","doi":"10.1109/CDC.2004.1428840","DOIUrl":null,"url":null,"abstract":"In this paper, 2-D optimal C-C-C class paths are determined for unmanned air vehicles performing target touring with kinematic and tactical constraints. Using vector calculus, a path-planning problem is decomposed to yield a parameter optimization problem. An efficient hybrid optimization algorithm is then used to solve the parameter optimization problem. Illustrative numerical simulations are given to demonstrate the efficacy of our approach.","PeriodicalId":254457,"journal":{"name":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"UAV optimal path planning using C-C-C class paths for target touring\",\"authors\":\"Hong Wong, V. Kapila, Ravi Vaidyanathan\",\"doi\":\"10.1109/CDC.2004.1428840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, 2-D optimal C-C-C class paths are determined for unmanned air vehicles performing target touring with kinematic and tactical constraints. Using vector calculus, a path-planning problem is decomposed to yield a parameter optimization problem. An efficient hybrid optimization algorithm is then used to solve the parameter optimization problem. Illustrative numerical simulations are given to demonstrate the efficacy of our approach.\",\"PeriodicalId\":254457,\"journal\":{\"name\":\"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.2004.1428840\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2004.1428840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
UAV optimal path planning using C-C-C class paths for target touring
In this paper, 2-D optimal C-C-C class paths are determined for unmanned air vehicles performing target touring with kinematic and tactical constraints. Using vector calculus, a path-planning problem is decomposed to yield a parameter optimization problem. An efficient hybrid optimization algorithm is then used to solve the parameter optimization problem. Illustrative numerical simulations are given to demonstrate the efficacy of our approach.
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