{"title":"广义状态空间系统","authors":"G. Verghese, B. Levy, T. Kailath","doi":"10.1109/CDC.1978.267983","DOIUrl":null,"url":null,"abstract":"We present here a summary of the results of [1]. Related work appears in [15], [16]. We consider the time-invariant system of r first-order coupled linear differential equations E x(t) = A x(t) + B u(t) (1a) y(t) = C x(t) (1b) where x is an r-vector of internal variables, u is an m-vector of control inputs or forcing functions, and y is a p-vector of outputs.","PeriodicalId":375119,"journal":{"name":"1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Generalized state-space systems\",\"authors\":\"G. Verghese, B. Levy, T. Kailath\",\"doi\":\"10.1109/CDC.1978.267983\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present here a summary of the results of [1]. Related work appears in [15], [16]. We consider the time-invariant system of r first-order coupled linear differential equations E x(t) = A x(t) + B u(t) (1a) y(t) = C x(t) (1b) where x is an r-vector of internal variables, u is an m-vector of control inputs or forcing functions, and y is a p-vector of outputs.\",\"PeriodicalId\":375119,\"journal\":{\"name\":\"1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1978.267983\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1978.267983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
摘要
我们在这里总结了[1]的结果。相关工作见于[15]、[16]。我们考虑r个一阶耦合线性微分方程E x(t) = A x(t) + B u(t) (1a) y(t) = C x(t) (1b)的定常系统,其中x是内部变量的r向量,u是控制输入或强制函数的m向量,y是输出的p向量。
We present here a summary of the results of [1]. Related work appears in [15], [16]. We consider the time-invariant system of r first-order coupled linear differential equations E x(t) = A x(t) + B u(t) (1a) y(t) = C x(t) (1b) where x is an r-vector of internal variables, u is an m-vector of control inputs or forcing functions, and y is a p-vector of outputs.