{"title":"基于粒子群优化的雷达伺服识别系统研究","authors":"Xuesong Xu, H. Lei, Junhui Rui, Zhengyi Huang","doi":"10.1117/12.2682419","DOIUrl":null,"url":null,"abstract":"In this paper, the radar servo system is modeled based on PSO Algorithm and Akaike Information Criterion and system identification theory. It is modeled by linear dynamic equations. Linear model of parameters which have a variety of different orders are identified based on PSO Algorithm whose order can be decided by Akaike Information Criterion. At last, the linear mathematical model of radar servo system can be concluded. The test and the simulation results show that it has great effect that radar servo system is described by this model.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on radar servo identification system based on particle swarm optimization\",\"authors\":\"Xuesong Xu, H. Lei, Junhui Rui, Zhengyi Huang\",\"doi\":\"10.1117/12.2682419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the radar servo system is modeled based on PSO Algorithm and Akaike Information Criterion and system identification theory. It is modeled by linear dynamic equations. Linear model of parameters which have a variety of different orders are identified based on PSO Algorithm whose order can be decided by Akaike Information Criterion. At last, the linear mathematical model of radar servo system can be concluded. The test and the simulation results show that it has great effect that radar servo system is described by this model.\",\"PeriodicalId\":177416,\"journal\":{\"name\":\"Conference on Electronic Information Engineering and Data Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference on Electronic Information Engineering and Data Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2682419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Electronic Information Engineering and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2682419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on radar servo identification system based on particle swarm optimization
In this paper, the radar servo system is modeled based on PSO Algorithm and Akaike Information Criterion and system identification theory. It is modeled by linear dynamic equations. Linear model of parameters which have a variety of different orders are identified based on PSO Algorithm whose order can be decided by Akaike Information Criterion. At last, the linear mathematical model of radar servo system can be concluded. The test and the simulation results show that it has great effect that radar servo system is described by this model.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
