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\Название: Iterative Learning Control Algorithms and Experimental Benchmarking
Автор: Eric Rogers, Bing Chu, Christopher Freeman, Paul Lewin
Издательство: Wiley
Год: 2023
Страниц: 451
Язык: английский
Формат: pdf (true)
Размер: 21.3 MB
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. Robotics is a source of many problems to which ILC can be applied. A particular example is “pick and place” operations, e.g. a robot required to collect an object from a given location, transfer it over a finite time, place it on a conveyor under synchronization, and then return to the starting location for the next one, and so on.
Автор: Eric Rogers, Bing Chu, Christopher Freeman, Paul Lewin
Издательство: Wiley
Год: 2023
Страниц: 451
Язык: английский
Формат: pdf (true)
Размер: 21.3 MB
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. Robotics is a source of many problems to which ILC can be applied. A particular example is “pick and place” operations, e.g. a robot required to collect an object from a given location, transfer it over a finite time, place it on a conveyor under synchronization, and then return to the starting location for the next one, and so on.