{"title":"混合计算机在反馈控制系统分析中的应用","authors":"C. Sanathanan, J. Carter, L. T. Bryant, L. Amiot","doi":"10.1145/1464291.1464373","DOIUrl":null,"url":null,"abstract":"In the pursuit of accuracy, speed and economy in the simulation of mathematical models of physical systems, analysts are continuously searching for more sophisticated mathematical techniques and computer systems. When the complexity of the mathematical models increases, their simulations on pure analog or pure digital computers are frequently cumbersome. The main reason for this is that some of the operations in mathematical model are inherently best handled either on the digital or the analog computer.","PeriodicalId":297471,"journal":{"name":"AFIPS '66 (Fall)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1899-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Hybrid computers in the analysis of feedback control systems\",\"authors\":\"C. Sanathanan, J. Carter, L. T. Bryant, L. Amiot\",\"doi\":\"10.1145/1464291.1464373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the pursuit of accuracy, speed and economy in the simulation of mathematical models of physical systems, analysts are continuously searching for more sophisticated mathematical techniques and computer systems. When the complexity of the mathematical models increases, their simulations on pure analog or pure digital computers are frequently cumbersome. The main reason for this is that some of the operations in mathematical model are inherently best handled either on the digital or the analog computer.\",\"PeriodicalId\":297471,\"journal\":{\"name\":\"AFIPS '66 (Fall)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1899-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AFIPS '66 (Fall)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1464291.1464373\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AFIPS '66 (Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1464291.1464373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid computers in the analysis of feedback control systems
In the pursuit of accuracy, speed and economy in the simulation of mathematical models of physical systems, analysts are continuously searching for more sophisticated mathematical techniques and computer systems. When the complexity of the mathematical models increases, their simulations on pure analog or pure digital computers are frequently cumbersome. The main reason for this is that some of the operations in mathematical model are inherently best handled either on the digital or the analog computer.