With Iterative Learning Control Algorithms and Experimental Benchmarking the authors discuss the main methods of iterative learning control (ILC) and its interactions, as well as comparator performance that is so crucial to the end user. They provide 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. A large part of the experimental verification comes from a joint research programme co-directed by the authors whose deliverables to-date include the design, commissioning and use of testbed facilities on which ILC and repetitive control algorithms can be experimentally compared. The authors present the results of this research, which has led to the development of the application of ILC in robotic systems for rehabilitation systems for stroke patients.
* Provides comprehensive coverage of the main approaches to iterative learning control (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
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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