Constrained Doubly Coprime Factorization for All Stabilizing H∞ Controllers
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김정훈 | - |
dc.contributor.author | 임종국 | - |
dc.contributor.author | 최영진 | - |
dc.date.accessioned | 2022-12-22T02:35:22Z | - |
dc.date.available | 2022-12-22T02:35:22Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2014-06 | - |
dc.identifier.issn | 1598-6446 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/182101 | - |
dc.description.abstract | The conventional Youla parameterization (equivalently Q-Parameterization) approach to solve H∞ optimal control problems requires solving the well-known matrix dilation optimization as a method for satisfying the H∞-norm constraint of the closed-loop transfer matrix. As an alternative, this paper presents a constrained doubly coprime factorization so that the H∞-norm constraint of the closed-loop transfer matrix can be satisfied without the need for matrix dilation optimization. For a given H∞-norm constraint, a constrained plant is suggested from a state estimator that includes the worst-case disturbance and estimation effects. Then, the constrained doubly coprime factorization is derived from the constrained plant model. All the stabilizing H∞ controllers are expressed by using the constrained coprime factors. Finally, an application example is provided to demonstrate the effectiveness of the proposed method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 제어·로봇·시스템학회 | - |
dc.title | Constrained Doubly Coprime Factorization for All Stabilizing H∞ Controllers | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 최영진 | - |
dc.identifier.doi | 10.1007/s12555-013-0073-1 | - |
dc.identifier.scopusid | 2-s2.0-84901047263 | - |
dc.identifier.wosid | 000337650000006 | - |
dc.identifier.bibliographicCitation | International Journal of Control, Automation, and Systems, v.12, no.3, pp.518 - 529 | - |
dc.relation.isPartOf | International Journal of Control, Automation, and Systems | - |
dc.citation.title | International Journal of Control, Automation, and Systems | - |
dc.citation.volume | 12 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 518 | - |
dc.citation.endPage | 529 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001878697 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.subject.keywordPlus | PARAMETERIZATION | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordAuthor | Doubly coprime factorization | - |
dc.subject.keywordAuthor | H∞ control | - |
dc.subject.keywordAuthor | Youla parameterization. | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s12555-013-0073-1 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.