Iterative learning control algorithms and experimental benchmarking
Iterative learning control algorithms and experimental benchmarking
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.
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Chu, Bing
555a86a5-0198-4242-8525-3492349d4f0f
Freeman, Chris
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
12 January 2023
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Chu, Bing
555a86a5-0198-4242-8525-3492349d4f0f
Freeman, Chris
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Rogers, Eric, Chu, Bing, Freeman, Chris and Lewin, Paul
(2023)
Iterative learning control algorithms and experimental benchmarking
,
Wiley, 448pp.
Abstract
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.
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Published date: 12 January 2023
Identifiers
Local EPrints ID: 497044
URI: http://eprints.soton.ac.uk/id/eprint/497044
PURE UUID: d14f3ec3-76f8-47c9-99ac-c773146e1268
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Date deposited: 10 Jan 2025 17:49
Last modified: 11 Jan 2025 02:45
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Contributors
Author:
Eric Rogers
Author:
Bing Chu
Author:
Chris Freeman
Author:
Paul Lewin
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