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Regularized System Identification Learning Dynamic Models from Data /

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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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Egile Nagusiak: Pillonetto, Gianluigi (Egilea), Chen, Tianshi (Egilea), Chiuso, Alessandro (Egilea), De Nicolao, Giuseppe (Egilea), Ljung, Lennart (Egilea)
Erakunde egilea: SpringerLink (Online service)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edizioa:1st ed. 2022.
Saila:Communications and Control Engineering,
Gaiak:
Machine learning.
Control engineering.
System theory.
Statistics .
Control theory.
Machine Learning.
Control and Systems Theory.
Complex Systems.
Bayesian Inference.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Systems Theory, Control.
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