Iterative Learning Control Algorithms and Experimental Benchmarking

Eric Rogers author Christopher Freeman author Bing Chu author Paul Lewin author

Format:Hardback

Publisher:John Wiley & Sons Inc

Published:16th Feb '23

Should be back in stock very soon

Iterative Learning Control Algorithms and Experimental Benchmarking cover

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.

ISBN: 9780470745045

Dimensions: 244mm x 168mm x 30mm

Weight: 992g

448 pages