{"title":"利用一种新的再现核希尔伯特空间方法求解二阶bvp系统","authors":"Taher Amoozad, Tofigh Allahviranloo, Saeid Abbasbandy, Mohsen Rostamy Malkhalifeh","doi":"10.1007/s40435-023-01330-2","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":37878,"journal":{"name":"International Journal of Dynamics and Control","volume":"102 1","pages":"0"},"PeriodicalIF":2.2000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using a new implementation of reproducing kernel Hilbert space method to solve a system of second-order BVPs\",\"authors\":\"Taher Amoozad, Tofigh Allahviranloo, Saeid Abbasbandy, Mohsen Rostamy Malkhalifeh\",\"doi\":\"10.1007/s40435-023-01330-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":37878,\"journal\":{\"name\":\"International Journal of Dynamics and Control\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Dynamics and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40435-023-01330-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Dynamics and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40435-023-01330-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
期刊介绍:
The International Journal of Dynamics and Control publishes original research and review articles reporting on theoretical, numerical, and experimental works that advance the knowledge of linear and nonlinear dynamic systems and their control. Topics include modeling, analysis, solution techniques, control strategies, and experimental investigation of mechanical, civil, electrical, electronic, coupled electro-mechanical, and biological systems with complex dynamic characteristics.