Probabilistic Identification and Prognosis of Nonlinear Dynamic Systems with applications in Structural Control and Health Monitoring
A Bayesian approach to system identification for structural control and health monitoring contains three main levels of inference, namely model assessment, joint state/parameter estimation and noise estimation. All of them have individually, or as a whole, been studied extensively for offline applic...
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| Language: | English |
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2016
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| Online Access: | https://doi.org/10.7916/D8MK6CXD |