Iterative Learning Control Algorithms and Experimental Benchmarking
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Item Dimensions: 96066000
Languages: EnglishPublishedEnglishOriginal LanguageEnglishUnknown
Number Of Items: 1
Number Of Pages: 400
Publication Date: December 31, 2019
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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.
- 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.
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