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Image of Regularized System Identification: Learning Dynamic Models from Data

Electronic Resource

Regularized System Identification: Learning Dynamic Models from Data

Pillonetto, Gianluigi - Personal Name; Chen, Tianshi - Personal Name; Chiuso, Alessandro - Personal Name; Nicolao, Giuseppe De - Personal Name; Ljung, Lennart - Personal Name;

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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 learning without losing sight of the system-theoretical principles of black-box identification. The authors’ reformulation of the identification problem in the light of regularization theory not only offers new insight on classical questions, but paves the way to new and powerful algorithms for a variety of linear and nonlinear problems. Regression methods such as regularization networks and support vector machines are the basis of techniques that extend the function-estimation problem to the estimation of dynamic models. Many examples, also from real-world applications, illustrate the comparative advantages of the new nonparametric approach with respect to classic parametric prediction error methods.
The challenges it addresses lie at the intersection of several disciplines so Regularized System Identification will be of interest to a variety of researchers and practitioners in the areas of control systems, machine learning, statistics, and data science.
This is an open access book.


Availability
Inventory Code Barcode Call Number Location Status
2008000065EB0003910006.2 Pil rCentral Library (Database Springer E-Book)Available
Detail Information
Series Title
Communications and Control Engineering
Call Number
006.2 Pil r
Publisher
Switzerland : Springer Cham., 2022
Collation
xxiv, 377p.: Ill.
Language
English
ISBN/ISSN
978-3-030-95860-2
Classification
006.2
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Special-purpose systems
Specific Detail Info
-
Statement of Responsibility
RTS
Other version/related
TitleEditionLanguage
Software Configuration Management: IDENTIFICATION, ACCOUNTING, CONTROL, & MANAGEMENTen
File Attachment
  • Regularized System Identification
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