{"product_id":"iterative-learning-control-algorithms-and-experimental-benchmarking-hardcover-2","title":"Iterative Learning Control Algorithms and Experimental Benchmarking - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eEric Rogers\u003c\/b\u003e (Author), \u003cb\u003eBing Chu\u003c\/b\u003e (Author), \u003cb\u003eChristopher Freeman\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eIterative Learning \u003cb\u003eCONTROL ALGORITHMS AND EXPERIMENTAL BENCHMARKING\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003e\u003cb\u003eIterative Learning Control Algorithms and Experimental Benchmarking\u003c\/b\u003e\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003e\u003cb\u003ePresents key cutting edge research into the use of iterative learning control\u003c\/b\u003e\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e\u003cp\u003eKey features: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e Provides comprehensive coverage of the main approaches to ILC and their relative advantages and disadvantages.\u003c\/li\u003e \u003cli\u003e Presents the leading research in the field along with experimental benchmarking results. \u003c\/li\u003e \u003cli\u003e 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.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThe book is essential reading for researchers and graduate students in iterative learning control, repetitive control and, more generally, control systems theory and its applications.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003e\u003cb\u003eIterative Learning Control Algorithms and Experimental Benchmarking\u003c\/b\u003e\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003e\u003cb\u003ePresents key cutting edge research into the use of iterative learning control\u003c\/b\u003e\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e\u003cp\u003eKey features: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e Provides comprehensive coverage of the main approaches to ILC and their relative advantages and disadvantages.\u003c\/li\u003e \u003cli\u003e Presents the leading research in the field along with experimental benchmarking results. \u003c\/li\u003e \u003cli\u003e 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.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThe book is essential reading for researchers and graduate students in iterative learning control, repetitive control and, more generally, control systems theory and its applications.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eProfessor Eric Rogers, Dr. Bing Chu, Professor Christopher Freeman, and Professor Paul Lewin, University of Southampton, UK\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 448\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 17, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47390085939449,"sku":"9780470745045","price":194.4,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/b2tVVFhkbFFuaFlicmhoRmFzOE9UQT09_68191832-43bf-47ee-b5a5-0d4bd7db72c0.webp?v=1770221295","url":"https:\/\/bookscloud.io\/products\/iterative-learning-control-algorithms-and-experimental-benchmarking-hardcover-2","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}