{"title":"通过多目标最小二乘法优化输出转移","authors":"L. Jetto, V. Orsini, R. Romagnoli","doi":"10.1109/CDC.2014.7039879","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to propose a new method for the optimization of the transient step response of a linear continuous-time system. The approach situates in the framework of model pseudo-inversion [1]-[3] because the input reference is computed starting from some desired features of the transient output. A significant feature of the new method is that the transition trajectory is not “ad hoc” exactly pre-specified by the designer. Rather, it is implicitly defined by the procedure for the minimization of a suitably multi-objective quadratic cost functional.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Output-transition optimization through a multi-objective least square procedure\",\"authors\":\"L. Jetto, V. Orsini, R. Romagnoli\",\"doi\":\"10.1109/CDC.2014.7039879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this paper is to propose a new method for the optimization of the transient step response of a linear continuous-time system. The approach situates in the framework of model pseudo-inversion [1]-[3] because the input reference is computed starting from some desired features of the transient output. A significant feature of the new method is that the transition trajectory is not “ad hoc” exactly pre-specified by the designer. Rather, it is implicitly defined by the procedure for the minimization of a suitably multi-objective quadratic cost functional.\",\"PeriodicalId\":202708,\"journal\":{\"name\":\"53rd IEEE Conference on Decision and Control\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"53rd IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.2014.7039879\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"53rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2014.7039879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Output-transition optimization through a multi-objective least square procedure
The purpose of this paper is to propose a new method for the optimization of the transient step response of a linear continuous-time system. The approach situates in the framework of model pseudo-inversion [1]-[3] because the input reference is computed starting from some desired features of the transient output. A significant feature of the new method is that the transition trajectory is not “ad hoc” exactly pre-specified by the designer. Rather, it is implicitly defined by the procedure for the minimization of a suitably multi-objective quadratic cost functional.