Role of Sensors in Error Propagation with the Dynamic Constrained Observability Method
The inverse problem of structural system identification is prone to ill-conditioning issues; thus, uniqueness and stability cannot be guaranteed. This issue tends to amplify the error propagation of both the epistemic and aleatory uncertainties, where aleatory uncertainty is related to the accuracy...
Main Authors: | Tian Peng, Maria Nogal, Joan R. Casas, Jose Turmo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/9/2918 |
Similar Items
-
Uncertainty Theory-Based Structural Reliability Analysis and Design Optimization under Epistemic Uncertainty
by: Shuang Zhou, et al.
Published: (2022-03-01) -
Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection
by: Tengfei Yang, et al.
Published: (2024-01-01) -
Sliding Mode Observer Design for decentralized multi-phase flow estimation
by: Abolfazl Varvani Farahani, et al.
Published: (2022-02-01) -
Uncertainty quantification and propagation with probability boxes
by: L. Duran-Vinuesa, et al.
Published: (2021-08-01) -
Mixed uncertainty quantification of ship non-contact underwater explosion system
by: Xiao LIANG, et al.
Published: (2024-06-01)