Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "12540"
  #_source: array:26 [
    "id" => "12540"
    "slug" => "bayesian-inference-in-non-markovian-state-space-models-with-applications-to-battery-fractional-order-systems"
    "yearMonth" => "2018-03"
    "year" => "2018"
    "title" => "Bayesian Inference in Non-Markovian State-Space Models With Applications to Battery Fractional-Order Systems"
    "description" => "JACOB, P., ALAVI, S.M.M., MAHDI, A., PAYNE, S.J. et HOWEY, D.A. (2018). Bayesian Inference in Non-Markovian State-Space Models With Applications to Battery Fractional-Order Systems. <i>IEEE Transactions on Control Systems Technology</i>, 26(2), pp. 497-506."
    "authors" => array:5 [
      0 => array:3 [
        "name" => "JACOB Pierre"
        "bid" => "B00795650"
        "slug" => "jacob-pierre"
      ]
      1 => array:1 [
        "name" => "ALAVI Seyed Mohammad Mahdi"
      ]
      2 => array:1 [
        "name" => "MAHDI Adam"
      ]
      3 => array:1 [
        "name" => "PAYNE Stephen J."
      ]
      4 => array:1 [
        "name" => "HOWEY David A."
      ]
    ]
    "ouvrage" => ""
    "keywords" => []
    "updatedAt" => "2021-09-24 10:33:27"
    "publicationUrl" => "https://ieeexplore.ieee.org/document/7873246"
    "publicationInfo" => array:3 [
      "pages" => "497-506"
      "volume" => "26"
      "number" => "2"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "Battery impedance spectroscopy models are given by fractional-order (FO) differential equations. In the discrete-time domain, they give rise to state-space models where the latent process is not Markovian. Parameter estimation for these models is, therefore, challenging, especially for noncommensurate FO models. In this paper, we propose a Bayesian approach to identify the parameters of generic FO systems. The computational challenge is tackled with particle Markov chain Monte Carlo methods, with an implementation specifically designed for the non-Markovian setting."
      "en" => "Battery impedance spectroscopy models are given by fractional-order (FO) differential equations. In the discrete-time domain, they give rise to state-space models where the latent process is not Markovian. Parameter estimation for these models is, therefore, challenging, especially for noncommensurate FO models. In this paper, we propose a Bayesian approach to identify the parameters of generic FO systems. The computational challenge is tackled with particle Markov chain Monte Carlo methods, with an implementation specifically designed for the non-Markovian setting."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2024-12-22T10:21:44.000Z"
    "docTitle" => "Bayesian Inference in Non-Markovian State-Space Models With Applications to Battery Fractional-Order Systems"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/jacob-pierre">JACOB Pierre</a>, ALAVI Seyed Mohammad Mahdi, MAHDI Adam, PAYNE Stephen J., HOWEY David A."
    "docDescription" => "<span class="document-property-authors">JACOB Pierre, ALAVI Seyed Mohammad Mahdi, MAHDI Adam, PAYNE Stephen J., HOWEY David A.</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2018</span>"
    "keywordList" => ""
    "docPreview" => "<b>Bayesian Inference in Non-Markovian State-Space Models With Applications to Battery Fractional-Order Systems</b><br><span>2018-03 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://ieeexplore.ieee.org/document/7873246" target="_blank">Bayesian Inference in Non-Markovian State-Space Models With Applications to Battery Fractional-Order Systems</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 8.690406
  +"parent": null
}