Original paper
A Gaussian process latent force model for joint input-state estimation in linear structural systems
Abstract
The problem of combined state and input estimation of linear structural systems based on measured responses and a priori knowledge of structural model is considered. A novel methodology using Gaussian process latent force models is proposed to tackle the problem in a stochastic setting. Gaussian process latent force models (GPLFMs) are hybrid models that combine differential equations representing a physical system with data-driven...
Paper Details
Title
A Gaussian process latent force model for joint input-state estimation in linear structural systems
Published Date
Aug 1, 2019
Volume
128
Pages
497 - 530
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