Deep recurrent Gaussian processes for outlier-robust system identification
Journal of Process Control(2017)
摘要
•Proposal of the RGP-t model, a deep recurrent architecture for robust Gaussian processes modeling.•Development of a variational Bayes framework for approximate inference with the RGP-t model.•Evaluation of the RGP-t on benchmarking datasets for different levels of outlier contamination.
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关键词
Nonlinear system identification,Dynamical modeling,Robust modeling,Gaussian Process,Outliers,Variational Bayes
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