000			01760 a2200217 4500
003			OSt
020			_a9780470745045
040			_cIIT Kanpur
041			_aeng
082			_a629.8 _bIt2
245			_aIterative learning control algorithms and experimental benchmarking _cEric Rogers ...[et al.]
260			_bWiley _c2023 _aHoboken
300			_aix, 438p
520			_aIterative 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.
650			_aIntelligent control systems
700			_aRogers, Eric
700			_aChu, Bing
700			_aFreeman, Christopher
700			_aLewin, Paul
942			_cBK
999			_c566945 _d566945