Iterative Learning Control Algorithms and Experimental Benchmarking

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Éditeur :

Wiley


Paru le : 2023-01-12

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Description
Iterative Learning CONTROL ALGORITHMS AND EXPERIMENTAL BENCHMARKING
Iterative Learning Control Algorithms and Experimental Benchmarking
Presents key cutting edge research into the use of iterative learning control
The book discusses the main methods of iterative learning control (ILC) and its interactions, as well as comparator performance that is so crucial to the end user. The book provides integrated coverage of the major approaches to-date in terms of basic systems, theoretic properties, design algorithms, and experimentally measured performance, as well as the links with repetitive control and other related areas.
Key features: Provides comprehensive coverage of the main approaches to ILC and their relative advantages and disadvantages. Presents the leading research in the field along with experimental benchmarking results. Demonstrates how this approach can extend out from engineering to other areas and, in particular, new research into its use in healthcare systems/rehabilitation robotics.
The book is essential reading for researchers and graduate students in iterative learning control, repetitive control and, more generally, control systems theory and its applications.
Pages
448 pages
Collection
n.c
Parution
2023-01-12
Marque
Wiley
EAN papier
9780470745045
EAN PDF
9781118535387

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
21381 Ko
Prix
101,39 €
EAN EPUB
9781118535370

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
59320 Ko
Prix
101,39 €

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