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H ∞Filter-SLAM: A sufficient condition for estimation
http://hdl.handle.net/2297/32830
http://hdl.handle.net/2297/328305f1a9dea-666d-430e-b9eb-0e7132df756f
名前 / ファイル | ライセンス | アクション |
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TE-PR-NAMERIKAWA-T-3159.pdf (620.8 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2017-10-03 | |||||
タイトル | ||||||
タイトル | H ∞Filter-SLAM: A sufficient condition for estimation | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
Ahmad, Hamzah
× Ahmad, Hamzah× Namerikawa, Toru |
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書誌情報 |
IFAC Proceedings Volumes (IFAC-PapersOnline) 巻 18, 号 PART 1, p. 3159-3164, 発行日 2011-01-01 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1474-6670 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.3182/20110828-6-IT-1002.00260 | |||||
出版者 | ||||||
出版者 | IFAC / Elsevier | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | A theoretical study about H ∞Filter based SLAM is proposed to propose a sufficient condition for estimation purposes. Two different cases of initial state covariance are given and analyzed to obtain a best solution for SLAM problem with consideration of process and measurement noises statistical behavior. If the proposed conditions are not satisfied during estimation, then the estimation will exhibit unbounded uncertainties and consequently result in erroneous inference. Simulation results demonstrates the performance as what this paper suggested on the theoretical analysis. These results consistently supports and guarantees our previous findings. © 2011 IFAC. | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
関連URI | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.elsevier.com/locate/issn/14746670 |