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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| Superior document: | Communications and Control Engineering |
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| TeilnehmendeR: | |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | Communications and Control Engineering
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| Physical Description: | 1 online resource (394 p.) |
| Notes: | Description based upon print version of record. |
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Electronic
| DOAB Directory of Open Access Books | Available |