Search Results - "Kernel-based regularization methods"

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  1. 1

    Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm by Mu, Biqiang, Kong, He, Chen, Tianshi, Jiang, Bo, Wang, Lei, Wu, Junfeng

    ISSN: 0018-9286, 1558-2523
    Published: New York IEEE 01.09.2023
    Published in IEEE transactions on automatic control (01.09.2023)
    “…This article studies input design of kernel-based regularization methods for linear dynamical systems, which has been formulated as a nonconvex optimization problem with the criterion being a scalar…”
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    Journal Article
  2. 2

    On input design for regularized LTI system identification: Power-constrained input by Mu, Biqiang, Chen, Tianshi

    ISSN: 0005-1098, 1873-2836, 1873-2836
    Published: Elsevier Ltd 01.11.2018
    Published in Automatica (Oxford) (01.11.2018)
    “…Input design is an important issue for classical system identification methods but has not been investigated for the kernel-based regularization method (KRM…”
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    Journal Article
  3. 3

    Kernel-Based Regularized Continuous-Time System Identification from Sampled Data by Fang, Xiaozhu, Mu, Biqiang, Chen, Tianshi

    ISSN: 2576-2370
    Published: IEEE 16.12.2024
    “… In the last decade, a major advance in system identification is the so-called kernel-based regularization method (KRM…”
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    Conference Proceeding
  4. 4

    Kernel-Based Regularized Continuous-Time System Identification from Sampled Data by Fang, Xiaozhu, Mu, Biqiang, Chen, Tianshi

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 27.10.2024
    Published in arXiv.org (27.10.2024)
    “… In the last decade, a major advance in system identification is the so-called kernel-based regularization method (KRM…”
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    Paper
  5. 5

    On Input Design for Regularized LTI System Identification: Power-constrained Input by Mu, Biqiang, Chen, Tianshi

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 18.08.2017
    Published in arXiv.org (18.08.2017)
    “…Input design is an important issue for classical system identification methods but has not been investigated for the kernel-based regularization method (KRM…”
    Get full text
    Paper