{"title":"非线性动力系统的快速仿真在降阶建模中的应用","authors":"S. A. Nahvi, M. A. Bazaz, M. Nabi, S. Janardhanan","doi":"10.1109/ECC.2014.6862178","DOIUrl":null,"url":null,"abstract":"The Trajectory piecewise linear (TPWL) representation of nonlinear dynamical systems requires an a-priori solution of the nonlinear system trajectory. This paper proposes a new algorithm for finding an approximate nonlinear system trajectory to reduce the computational burden of the TPWL process. Additionally, the new algorithm has an error assessment feature that provides a less heuristic alternative to the conventional methods. It is shown that the TPWL model can be obtained with lesser user intervention using the new algorithm and also comprises of a smaller number of constituent linear systems.","PeriodicalId":251538,"journal":{"name":"2014 European Control Conference (ECC)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fast simulation of nonlinear dynamical systems for application in reduced order modelling\",\"authors\":\"S. A. Nahvi, M. A. Bazaz, M. Nabi, S. Janardhanan\",\"doi\":\"10.1109/ECC.2014.6862178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Trajectory piecewise linear (TPWL) representation of nonlinear dynamical systems requires an a-priori solution of the nonlinear system trajectory. This paper proposes a new algorithm for finding an approximate nonlinear system trajectory to reduce the computational burden of the TPWL process. Additionally, the new algorithm has an error assessment feature that provides a less heuristic alternative to the conventional methods. It is shown that the TPWL model can be obtained with lesser user intervention using the new algorithm and also comprises of a smaller number of constituent linear systems.\",\"PeriodicalId\":251538,\"journal\":{\"name\":\"2014 European Control Conference (ECC)\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECC.2014.6862178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECC.2014.6862178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast simulation of nonlinear dynamical systems for application in reduced order modelling
The Trajectory piecewise linear (TPWL) representation of nonlinear dynamical systems requires an a-priori solution of the nonlinear system trajectory. This paper proposes a new algorithm for finding an approximate nonlinear system trajectory to reduce the computational burden of the TPWL process. Additionally, the new algorithm has an error assessment feature that provides a less heuristic alternative to the conventional methods. It is shown that the TPWL model can be obtained with lesser user intervention using the new algorithm and also comprises of a smaller number of constituent linear systems.