{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1361699994594025344.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1115/1.4026833"}},{"identifier":{"@type":"URI","@value":"http://asmedigitalcollection.asme.org/dynamicsystems/article-pdf/doi/10.1115/1.4026833/6116023/ds_136_04_041022.pdf"}}],"dc:title":[{"@value":"Robust Control of Automotive Active Seat-Suspension System Subject to Actuator Saturation"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>This paper deals with the problem of robust sampled-data control for an automotive seat-suspension system subject to control input saturation. By using the nature of the sector nonlinearity, a sampled-data based control input saturation in the control design is studied. A passenger dynamic behavior is considered in the modeling of seat-suspension system, which makes the model more precisely and brings about uncertainties as well in the developed model. Robust output feedback control strategy is adopted since some state variables, such as, body acceleration and body deflection, are unavailable. The desired controller can be achieved by solving the corresponding linear matrix inequalities (LMIs). Finally, a design example has been given to demonstrate the effectiveness and advantages of the proposed controller design approach.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1381699994594025346","@type":"Researcher","foaf:name":[{"@value":"Zhou Gu"}],"jpcoar:affiliationName":[{"@value":"College of Mechanical and  Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China;"},{"@value":"School of Automation, Southeast University, Nanjing 210018, China e-mail:"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699994594025216","@type":"Researcher","foaf:name":[{"@value":"Shumin Fei"}],"jpcoar:affiliationName":[{"@value":"School of Automation, Southeast University, Nanjing 210018, China"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699994594025345","@type":"Researcher","foaf:name":[{"@value":"Yaqin Zhao"}],"jpcoar:affiliationName":[{"@value":"College of Mechanical and  Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699994594025344","@type":"Researcher","foaf:name":[{"@value":"Engang Tian"}],"jpcoar:affiliationName":[{"@value":"School of Electrical and Automation Engineering, Nanjing Normal Southeast University, Nanjing 210042, China"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00220434"},{"@type":"EISSN","@value":"15289028"}],"prism:publicationName":[{"@value":"Journal of Dynamic Systems, Measurement, and Control"}],"dc:publisher":[{"@value":"ASME International"}],"prism:publicationDate":"2014-04-28","prism:volume":"136","prism:number":"4","prism:startingPage":"04102"},"reviewed":"false","url":[{"@id":"http://asmedigitalcollection.asme.org/dynamicsystems/article-pdf/doi/10.1115/1.4026833/6116023/ds_136_04_041022.pdf"}],"createdAt":"2014-02-14","modifiedAt":"2019-10-06","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360588379389784704","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Semi-active composite adaptive PPF controller for three-story building structure using magnetorheological elastomer"}]},{"@id":"https://cir.nii.ac.jp/crid/1390001205516733824","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"ja","@value":"乗員の心理状態推定による乗り心地制御システムの提案"},{"@language":"en","@value":"Proposal of ride comfort control system by psychological state estimation of the driver"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1115/1.4026833"},{"@type":"CROSSREF","@value":"10.1016/j.istruc.2025.108509_references_DOI_JqB6ctlp2HJRmFcCbCnKBVPxosM"},{"@type":"CROSSREF","@value":"10.1299/transjsme.15-00356_references_DOI_JqB6ctlp2HJRmFcCbCnKBVPxosM"}]}