{"title":"多分辨率控制的最优结构","authors":"Y. Maximov, A. Meystel","doi":"10.1109/AEROCS.1993.721016","DOIUrl":null,"url":null,"abstract":"The theoretical foundations of optimum architectures for control systems are outlined upon complexity analysis for control systems with multiresolutional representation, and multiresolutional algorithms of control processes. It is demonstrated, that hierarchies for multiresolutional control should have a definite number of levels which minimizes the complexity (and time) of amputations. Tbe optimum number of levels is found analytically which has never bq?n done before.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimum Architectures for Multiresolutional Control\",\"authors\":\"Y. Maximov, A. Meystel\",\"doi\":\"10.1109/AEROCS.1993.721016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The theoretical foundations of optimum architectures for control systems are outlined upon complexity analysis for control systems with multiresolutional representation, and multiresolutional algorithms of control processes. It is demonstrated, that hierarchies for multiresolutional control should have a definite number of levels which minimizes the complexity (and time) of amputations. Tbe optimum number of levels is found analytically which has never bq?n done before.\",\"PeriodicalId\":170527,\"journal\":{\"name\":\"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEROCS.1993.721016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEROCS.1993.721016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimum Architectures for Multiresolutional Control
The theoretical foundations of optimum architectures for control systems are outlined upon complexity analysis for control systems with multiresolutional representation, and multiresolutional algorithms of control processes. It is demonstrated, that hierarchies for multiresolutional control should have a definite number of levels which minimizes the complexity (and time) of amputations. Tbe optimum number of levels is found analytically which has never bq?n done before.
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