Regularized System Identification Learning Dynamic Models from Data
This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learn...
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Other Authors: | , , , |
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Cham
Springer Nature
2022
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Series: | Communications and Control Engineering
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Subjects: | |
Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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