Iterative Learning Control Algorithms and Experime ntal Benchmarking

by Eric Rogers, Bing Chu, David H. Owens, Paul Lewin, and Christopher Freeman

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Book cover for Iterative Learning Control Algorithms and Experime ntal Benchmarking

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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 an integrated coverage of the major approaches to-date in terms of basic systems theoretic properties, design algorithms, and experimentally measured performance as well 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 a unique experimental benchmarking system. * 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.
  • ISBN10 0470745045
  • ISBN13 9780470745045
  • Publish Date 5 January 2023 (first published 16 December 2022)
  • Publish Status Forthcoming
  • Publish Country US
  • Imprint John Wiley & Sons Inc
  • Format Hardcover
  • Pages 400
  • Language English