Performances of a family of new sequential Bayesian filters for input estimation-Reference-Cited by-同舟云学术

Performances of a family of new sequential Bayesian filters for input estimation

Published:2023-12 Issue: Volume:204 Page:110794
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Ghibaudo J.,Aucejo M.^ORCID,De Smet O.^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference36 articles.

1. Solution of an inverse dynamics problem using an eigenvalue reduction technique;Busby;Comput. Struct.,1987

2. A dynamic programming algorithm for input estimation on linear time-variant systems;Nordström;Comput. Methods Appl. Mech. Eng.,2006

3. Detection of impact location and magnitude for isotropic plates using neural networks;Jones;J. Intell. Mater. Syst. Struct.,1997

4. Impact location and quantification on a composite panel using neural networks and a genetic algorithm;Worden;Strain,2000

5. Impact load identification of nonlinear structures using deep recurrent neural network;Zhou;Mech. Syst. Signal Process.,2019

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