{"title":"基于qft的线性/非线性集总和线性分布式系统综合的MATLAB工具箱","authors":"P. Nataraj","doi":"10.1109/CACSD.1994.288884","DOIUrl":null,"url":null,"abstract":"We present QFT IIT, a MATLAB toolbox for quantitative feedback theory (QFT)-based synthesis of robust feedback systems. QFT IIT can handle several system classes including linear and nonlinear, single input-output and multi input-output, output and internal variable feedback, and linear distributed with distributed or point feedback types. We used QFT IIT to successfully solve a large number of robust control problems at The Indian Institute of Technology (IIT) Bombay.<<ETX>>","PeriodicalId":197997,"journal":{"name":"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A MATLAB toolbox for QFT-based synthesis of linear/nonlinear lumped and linear distributed systems\",\"authors\":\"P. Nataraj\",\"doi\":\"10.1109/CACSD.1994.288884\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present QFT IIT, a MATLAB toolbox for quantitative feedback theory (QFT)-based synthesis of robust feedback systems. QFT IIT can handle several system classes including linear and nonlinear, single input-output and multi input-output, output and internal variable feedback, and linear distributed with distributed or point feedback types. We used QFT IIT to successfully solve a large number of robust control problems at The Indian Institute of Technology (IIT) Bombay.<<ETX>>\",\"PeriodicalId\":197997,\"journal\":{\"name\":\"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CACSD.1994.288884\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACSD.1994.288884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A MATLAB toolbox for QFT-based synthesis of linear/nonlinear lumped and linear distributed systems
We present QFT IIT, a MATLAB toolbox for quantitative feedback theory (QFT)-based synthesis of robust feedback systems. QFT IIT can handle several system classes including linear and nonlinear, single input-output and multi input-output, output and internal variable feedback, and linear distributed with distributed or point feedback types. We used QFT IIT to successfully solve a large number of robust control problems at The Indian Institute of Technology (IIT) Bombay.<>
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