{"title":"鲁棒系统设计中的建模优化过程","authors":"O. Sushchenko, Y. Bezkorovainyi, O. Salyuk","doi":"10.1109/ELIT53502.2021.9501147","DOIUrl":null,"url":null,"abstract":"This paper deals with features of the software used for designing robust control systems. The optimization criterion and features of the mixed robust parametrical optimization are represented. The block-scheme of the algorithm of designing the robust control system is given. The comparative analysis of the downhill simplex method and genetic programming for implementation of the optimization process is represented. The advantages of the genetic algorithm in this area are shown.","PeriodicalId":164798,"journal":{"name":"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling Optimization Process in Design of Robust Systems\",\"authors\":\"O. Sushchenko, Y. Bezkorovainyi, O. Salyuk\",\"doi\":\"10.1109/ELIT53502.2021.9501147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with features of the software used for designing robust control systems. The optimization criterion and features of the mixed robust parametrical optimization are represented. The block-scheme of the algorithm of designing the robust control system is given. The comparative analysis of the downhill simplex method and genetic programming for implementation of the optimization process is represented. The advantages of the genetic algorithm in this area are shown.\",\"PeriodicalId\":164798,\"journal\":{\"name\":\"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELIT53502.2021.9501147\",\"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 12th International Conference on Electronics and Information Technologies (ELIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELIT53502.2021.9501147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling Optimization Process in Design of Robust Systems
This paper deals with features of the software used for designing robust control systems. The optimization criterion and features of the mixed robust parametrical optimization are represented. The block-scheme of the algorithm of designing the robust control system is given. The comparative analysis of the downhill simplex method and genetic programming for implementation of the optimization process is represented. The advantages of the genetic algorithm in this area are shown.