{"title":"Program CC's implementation of pole‐placement and lqg algorithms using diophantine equations","authors":"P. Thompson","doi":"10.1002/OCA.4660080107","DOIUrl":null,"url":null,"abstract":"Polynomial Diophantine equations can be used to solve pole-placement problems and linear quadratic Gaussian (LQG) optimal control problems, for both analogue and digital single-input-single-output (SISO) systems. A description is presented of the how these algorithms are implemented in Program CC, a user-friendly, command driven, computer-aided-control-system-design (CACSD) package.","PeriodicalId":54672,"journal":{"name":"Optimal Control Applications & Methods","volume":"8 1","pages":"91-101"},"PeriodicalIF":2.0000,"publicationDate":"2007-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/OCA.4660080107","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optimal Control Applications & Methods","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/OCA.4660080107","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Polynomial Diophantine equations can be used to solve pole-placement problems and linear quadratic Gaussian (LQG) optimal control problems, for both analogue and digital single-input-single-output (SISO) systems. A description is presented of the how these algorithms are implemented in Program CC, a user-friendly, command driven, computer-aided-control-system-design (CACSD) package.
期刊介绍:
Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.