Iterative Learning Control Algorithms and Experimental Benchmarking

Eric Rogers

ISBN 10: 0470745045 / ISBN 13: 9780470745045

Published by Wiley Jan 2023, 2023

About this Item

Neuware - Iterative Learning CONTROL ALGORITHMS AND EXPERIMENTAL BENCHMARKINGIterative Learning Control Algorithms and Experimental BenchmarkingPresents key cutting edge research into the use of iterative learning controlThe 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.

Seller Inventory # 9780470745045

Bibliographic Details

• Title: Iterative Learning Control Algorithms and Experimental Benchmarking
• Publisher: Wiley Jan 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 0470745045
• ISBN 13: 9780470745045
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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.

About the Author

Professor Eric Rogers, Dr. Bing Chu, Professor Christopher Freeman, and Professor Paul Lewin, University of Southampton, UK