{"title":"非线性系统的倒向数值积分法","authors":"Hao Qiao, Zenghao Li, Peng Sun, Xinguo Li","doi":"10.1109/ICSPCC.2017.8242509","DOIUrl":null,"url":null,"abstract":"Differential equation is a useful way to describe nonlinear systems. In general, integration is used to solve them, which is a forward method using current information to get the future information. In some special occasions where the system has a fix final condition and a free initial condition, a new kind of integration method with a backward direction is needed. This paper presents a new kind of numerical integration method solving nonlinear system which is called backward numerical integration method and it is analyzed by mathematics deduction. A comparative analysis quantifies the correctness and advantages of this integration method. As concluding remarks, the backward integration method is simple and reliable enough to solve those final condition fixed nonlinear systems.","PeriodicalId":192839,"journal":{"name":"International Conference on Signal Processing, Communications and Computing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Backward numerical integration method for nonlinear system\",\"authors\":\"Hao Qiao, Zenghao Li, Peng Sun, Xinguo Li\",\"doi\":\"10.1109/ICSPCC.2017.8242509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Differential equation is a useful way to describe nonlinear systems. In general, integration is used to solve them, which is a forward method using current information to get the future information. In some special occasions where the system has a fix final condition and a free initial condition, a new kind of integration method with a backward direction is needed. This paper presents a new kind of numerical integration method solving nonlinear system which is called backward numerical integration method and it is analyzed by mathematics deduction. A comparative analysis quantifies the correctness and advantages of this integration method. As concluding remarks, the backward integration method is simple and reliable enough to solve those final condition fixed nonlinear systems.\",\"PeriodicalId\":192839,\"journal\":{\"name\":\"International Conference on Signal Processing, Communications and Computing\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Signal Processing, Communications and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCC.2017.8242509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Signal Processing, Communications and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCC.2017.8242509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Backward numerical integration method for nonlinear system
Differential equation is a useful way to describe nonlinear systems. In general, integration is used to solve them, which is a forward method using current information to get the future information. In some special occasions where the system has a fix final condition and a free initial condition, a new kind of integration method with a backward direction is needed. This paper presents a new kind of numerical integration method solving nonlinear system which is called backward numerical integration method and it is analyzed by mathematics deduction. A comparative analysis quantifies the correctness and advantages of this integration method. As concluding remarks, the backward integration method is simple and reliable enough to solve those final condition fixed nonlinear systems.