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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.
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Contributor : Qinghua Zhang <>
Submitted on : Wednesday, November 12, 2014 - 10:45:02 AM
Last modification on : Tuesday, December 8, 2020 - 10:20:25 AM




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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