A switching Gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity

A switching Gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity

An approach for the identification of discontinuous and nonsmooth nonlinear forces, as those generated by frictional contacts, in mechanical systems that can be approximated by a single-degree-of-freedom model is presented. To handle the sharp variations and multiple motion regimes introduced by the...

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Những tác giả chính: Luca Marino, Alice Cicirello
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: Cambridge University Press 2023-01-01
Loạt:Data-Centric Engineering
Những chủ đề:
friction
grey-box model
nonlinear system identification
physics-based machine learning
stick–slip
Truy cập trực tuyến:https://www.cambridge.org/core/product/identifier/S2632673623000126/type/journal_article

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