Adaptive Estimation of FCG Using Nonlinear State-Space Models

DOI10.1081/SAP-200064462zbMath1072.62093OpenAlexW2023810034MaRDI QIDQ5312730

Sokratis K. Katsikas, V. C. Moussas, Demetrios G. Lainiotis

Publication date: 25 August 2005

Published in: Stochastic Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sap-200064462

zbMATH Keywords

extended Kalman filternonlinear predictionfailure predictionadaptive Lainiotis filternonlinear fatigue crack growth models

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12) Reliability and life testing (62N05)

Cites Work

• Unnamed Item
• On the parallel implementations of the linear Kalman and Lainiotis filters and their efficiency
• Partitioned estimation algorithms. I: Nonlinear estimation
• On probabilistic fatigue models for composite materials
• Lainiotis filters applications in seismic signal processing

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