{"title":"ICLOCS2:在你尝试其他方法之前先尝试这个最优控制问题解决器","authors":"Yuanbo Nie, Omar J. Faqir, E. Kerrigan","doi":"10.1109/CONTROL.2018.8516795","DOIUrl":null,"url":null,"abstract":"We present a comprehensive toolbox for solving nonlinear optimal control problems (OCPs) in Matlab and Simulink. The software provides a wide selection of underlying solution methods, as well as automated tools to assist in the design and implementation process. The aim is to provide a first port of call to solve OCPs of different natures, with minimum requirements on the experience of the user. Other OCP solvers might be faster on some problems, but ICLOCS2 might work where others fail.","PeriodicalId":266112,"journal":{"name":"2018 UKACC 12th International Conference on Control (CONTROL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"ICLOCS2: Try this Optimal Control Problem Solver Before you Try the Rest\",\"authors\":\"Yuanbo Nie, Omar J. Faqir, E. Kerrigan\",\"doi\":\"10.1109/CONTROL.2018.8516795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a comprehensive toolbox for solving nonlinear optimal control problems (OCPs) in Matlab and Simulink. The software provides a wide selection of underlying solution methods, as well as automated tools to assist in the design and implementation process. The aim is to provide a first port of call to solve OCPs of different natures, with minimum requirements on the experience of the user. Other OCP solvers might be faster on some problems, but ICLOCS2 might work where others fail.\",\"PeriodicalId\":266112,\"journal\":{\"name\":\"2018 UKACC 12th International Conference on Control (CONTROL)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 UKACC 12th International Conference on Control (CONTROL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONTROL.2018.8516795\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 UKACC 12th International Conference on Control (CONTROL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONTROL.2018.8516795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ICLOCS2: Try this Optimal Control Problem Solver Before you Try the Rest
We present a comprehensive toolbox for solving nonlinear optimal control problems (OCPs) in Matlab and Simulink. The software provides a wide selection of underlying solution methods, as well as automated tools to assist in the design and implementation process. The aim is to provide a first port of call to solve OCPs of different natures, with minimum requirements on the experience of the user. Other OCP solvers might be faster on some problems, but ICLOCS2 might work where others fail.