{"title":"最小化系统内存","authors":"Minh N. Dao, D. Noll","doi":"10.1109/ASCC.2013.6606035","DOIUrl":null,"url":null,"abstract":"Consider a stable linear time-invariant system G(x) with tunable parameters x ϵ R<sup>n</sup>, which maps inputs w ϵ L<sup>2</sup>(R<sup>m</sup>) to outputs z ϵ L<sup>2</sup>(R<sup>p</sup>). Our goal is to find a choice of the tunable parameters x<sup>*</sup> which avoids undesirable responses of the system to past excitations known as system ringing. We address this problem by minimizing the Hankel norm ∥G(x)∥<sub>H</sub> of G(x), which quantifies the influence of past inputs on future outputs.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":"1 1","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Minimizing the memory of a system\",\"authors\":\"Minh N. Dao, D. Noll\",\"doi\":\"10.1109/ASCC.2013.6606035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Consider a stable linear time-invariant system G(x) with tunable parameters x ϵ R<sup>n</sup>, which maps inputs w ϵ L<sup>2</sup>(R<sup>m</sup>) to outputs z ϵ L<sup>2</sup>(R<sup>p</sup>). Our goal is to find a choice of the tunable parameters x<sup>*</sup> which avoids undesirable responses of the system to past excitations known as system ringing. We address this problem by minimizing the Hankel norm ∥G(x)∥<sub>H</sub> of G(x), which quantifies the influence of past inputs on future outputs.\",\"PeriodicalId\":6304,\"journal\":{\"name\":\"2013 9th Asian Control Conference (ASCC)\",\"volume\":\"1 1\",\"pages\":\"1-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 9th Asian Control Conference (ASCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASCC.2013.6606035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 9th Asian Control Conference (ASCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASCC.2013.6606035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Consider a stable linear time-invariant system G(x) with tunable parameters x ϵ Rn, which maps inputs w ϵ L2(Rm) to outputs z ϵ L2(Rp). Our goal is to find a choice of the tunable parameters x* which avoids undesirable responses of the system to past excitations known as system ringing. We address this problem by minimizing the Hankel norm ∥G(x)∥H of G(x), which quantifies the influence of past inputs on future outputs.