Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

H2 Optimal Sliding Hyperplane Design of Discrete-Time Integral Sliding-Mode Control for Automated Driving Vehicles

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Jin Sung-
dc.contributor.authorChung, Chung Choo-
dc.date.accessioned2026-05-22T00:00:14Z-
dc.date.available2026-05-22T00:00:14Z-
dc.date.issued2025-05-
dc.identifier.issn1551-3203-
dc.identifier.issn1941-0050-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212804-
dc.description.abstractThis article proposes the optimal discrete-time integral sliding-mode control for unmatched external signal compensation in a lane-keeping system on curved roads. Since curved roads appear as an external signal in a lateral vehicle motion model, improving the tracking performance with external signal compensation is necessary. To tackle the problem, we solve the optimization problem of obtaining the optimal sliding surface that minimizes the H2 norm of the transfer matrix from the external signal to the system state of interest. As a result, robust performance in the sense of H2 is guaranteed in the proposed framework. We provide a theorem to prove the H2 performance and present the design process. The proposed method is applied to lateral vehicle control to validate the effectiveness via numerical simulation and real-world experiments. A comparative study confirmed that the tracking performance of the proposed algorithm outperforms those of other methods on curved roads.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.titleH2 Optimal Sliding Hyperplane Design of Discrete-Time Integral Sliding-Mode Control for Automated Driving Vehicles-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/TII.2025.3537615-
dc.identifier.scopusid2-s2.0-85218751176-
dc.identifier.wosid001470752600001-
dc.identifier.bibliographicCitationIEEE Transactions on Industrial Informatics, v.21, no.5, pp 3976 - 3985-
dc.citation.titleIEEE Transactions on Industrial Informatics-
dc.citation.volume21-
dc.citation.number5-
dc.citation.startPage3976-
dc.citation.endPage3985-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.subject.keywordPlusAutonomous vehicles-
dc.subject.keywordPlusLinear matrix inequalities-
dc.subject.keywordPlusMagnetic levitation vehicles-
dc.subject.keywordPlusOptimal control systems-
dc.subject.keywordPlusStructural dynamics-
dc.subject.keywordPlusTransfer matrix method-
dc.subject.keywordAuthorAutonomous driving-
dc.subject.keywordAuthorlane-keeping system-
dc.subject.keywordAuthorlinear matrix inequalities-
dc.subject.keywordAuthorsliding-mode control (SMC)-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/10892359-
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 전기공학전공 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE