Nonlinear System Identification: An Overview of Common Approaches

Qinghua Zhang 1
1 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
Abstract : Nonlinear mathematical models are essential tools in various engineering and scientific domains, where more and more data are recorded by electronic devices. How to build nonlinear mathematical models essentially based on experimental data is the topic of this entry. Due to the large extent of the topic, this entry provides only a rough overview of some well-known results, from gray-box to black-box system identification.
Type de document :
Chapitre d'ouvrage
Baillieul, John; Samad, Tariq. Encyclopedia of Systems and Control, Springer, 2014, 〈10.1007/978-1-4471-5102-9_104-1〉
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https://hal.inria.fr/hal-01081907
Contributeur : Qinghua Zhang <>
Soumis le : mercredi 12 novembre 2014 - 10:45:02
Dernière modification le : mercredi 29 novembre 2017 - 15:59:36

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Qinghua Zhang. Nonlinear System Identification: An Overview of Common Approaches. Baillieul, John; Samad, Tariq. Encyclopedia of Systems and Control, Springer, 2014, 〈10.1007/978-1-4471-5102-9_104-1〉. 〈hal-01081907〉

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