Nonlinear System Identification Using Temporal Convolutional Networks: A Silverbox Study

Author:

Maroli John M.,Özgüner Ümit,Redmill Keith

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference21 articles.

1. Bai, S., Kolter, J.Z., and Koltun, V. (2018). An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271.

2. Recursive functional link polynomial filters: An introduction;Carini;In 2016 24th European Signal Processing Conference (EU-SIPCO),2016

3. Svd truncation schemes for fixed-size kernel models;Castro;In 2014 International Joint Conference on Neural Networks (IJCNN),2014

4. A comparative study of ls-svms applied to the silver box identification problem;Espinoza;IFAC Proceedings Volumes,2004

5. Structured kernel based modeling and its application to electric load forecasting;Espinoza Tapia,2006

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