Data-driven full-field vibration response estimation from limited measurements in real-time using dictionary learning and compressive sensing-Reference-Cited by-同舟云学术

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Data-driven full-field vibration response estimation from limited measurements in real-time using dictionary learning and compressive sensing

Published:2023-01 Issue: Volume:275 Page:115280
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Jana Debasish^ORCID,Nagarajaiah Satish^ORCID

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference102 articles.

1. A New Approach to Linear Filtering and Prediction Problems;Kalman;J Basic Eng,1960

2. An introduction to the Kalman filter;Welch,1995

3. Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches;Simon,2006

4. Controllability and observability: Tools for Kalman filter design.;Southall,1998

5. Nanotube film based on single-wall carbon nanotubes for strain sensing;Dharap;Nanotechnology,2004

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4. Towards Probabilistic Robust and Sparsity-Free Compressive Sampling in Civil Engineering: A Review;International Journal of Structural Stability and Dynamics;2023-09-14

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