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.
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Eric Rogers is Professor of Control Systems Theory and Design in the School of Electronics and Computer Science at Southampton University. He teaches control and systems, circuit analysis and signal processing, and his research interests include feedback and stability theory for linear repetitive processes, iterative learning control theory and experimental verification, and iterative learning/repetitive Control duality. He is Editor-in-Chief of The International Journal of Control and Editor of the Taylor and Francis Research Text Series on Systems and Control. He has authored 3 research monographs and edited 1 research text. Professor David Owens has been the Head of the Department of Automatic Control and Systems Engineering at Southampton University since 1999 and was Dean of Engineering at Sheffield University in the period 2002-2006. His research interests include control systems design, systems modelling; adaptive and robust control, repetitive control, iterative learning systems, nonlinear control systems and control systems applications. He is Joint Editor-in-chief of the IMA International Journal of Mathematical Control and Information. Dr Paul Lewin teaches high-voltage engineering and electrical drives within the School of Electronics and Computer Science at Southampton University.
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780470745045
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