DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bokyu Kwon | - |
dc.contributor.author | Han, S | - |
dc.date.accessioned | 2015-06-25T02:38:48Z | - |
dc.date.available | 2015-06-25T02:38:48Z | - |
dc.date.created | 2015-02-27 | - |
dc.date.issued | 2012-03 | - |
dc.identifier.issn | 1024-123X | - |
dc.identifier.other | 2015-OAK-0000032373 | en_US |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/11362 | - |
dc.description.abstract | We propose a least-mean-square (LMS) receding horizon (RH) estimator for state estimation. The proposed LMS RH estimator is obtained from the conditional expectation of the estimated state given a finite number of inputs and outputs over the recent finite horizon. Any a priori state information is not required, and existing artificial constraints for easy derivation are not imposed. For a general stochastic discrete-time state space model with both system and measurement noise, the LMS RH estimator is explicitly represented in a closed form. For numerical reliability, the iterative form is presented with forward and backward computations. It is shown through a numerical example that the proposed LMS RH estimator has better robust performance than conventional Kalman estimators when uncertainties exist. | - |
dc.description.statementofresponsibility | open | en_US |
dc.language | English | - |
dc.publisher | MDPI | - |
dc.relation.isPartOf | MATHEMATICAL PROBLEMS IN ENGINEERING | - |
dc.rights | BY_NC_ND | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.0/kr | en_US |
dc.title | Least-Mean-Square Receding Horizon Estimation | - |
dc.type | Article | - |
dc.contributor.college | 창의IT융합공학과 | en_US |
dc.identifier.doi | 10.1155/2012/631759 | - |
dc.author.google | Kwon, B | en_US |
dc.author.google | Han, S | en_US |
dc.contributor.id | 10118502 | en_US |
dc.relation.journal | MATHEMATICAL PROBLEMS IN ENGINEERING | en_US |
dc.relation.index | SCI급, SCOPUS 등재논문 | en_US |
dc.relation.sci | SCIE | en_US |
dc.collections.name | Journal Papers | en_US |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | MATHEMATICAL PROBLEMS IN ENGINEERING, v.2012 | - |
dc.identifier.wosid | 000302685400001 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.title | MATHEMATICAL PROBLEMS IN ENGINEERING | - |
dc.citation.volume | 2012 | - |
dc.contributor.affiliatedAuthor | Han, S | - |
dc.identifier.scopusid | 2-s2.0-84859735669 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 1 | - |
dc.description.scptc | 1 | * |
dc.date.scptcdate | 2018-10-274 | * |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | FIR SMOOTHERS | - |
dc.subject.keywordPlus | DISCRETE | - |
dc.subject.keywordPlus | FILTER | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Interdisciplinary Applications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Mathematics | - |
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