Shen Dong, Li Xuefang Iterative Learning Control for Systems with Iteration-Varying Trial Lengths: Synthesis and Analysis 9789811361357

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Автор: Shen Dong, Li Xuefang
Название: Iterative Learning Control for Systems with Iteration-Varying Trial Lengths: Synthesis and Analysis
ISBN: 9789811361357
Издательство: Springer
Классификация:

Кибернетика и теория систем

Основы высшей математики и математический анализ

Вычислительная математика

Математика для инженеров

Электроника

Техника автоматического регулирования

Искусственный интеллект

ISBN-10: 9811361355
Обложка/Формат: Hardcover
Страницы: 256
Вес: 0.56 кг.
Дата издания: 14.02.2019
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 40 tables, color; 72 illustrations, color; 5 illustrations, black and white; xiv, 256 p. 77 illus., 72 illus. in color.
Размер: 234 x 156 x 16
Читательская аудитория: Professional & vocational
Подзаголовок: Synthesis and analysis
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerous intuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intended for academic scholars and engineers who are interested in learning about control, data-driven control, networked control systems, and related fields. It is also a useful resource for graduate students in the above field.
Дополнительное описание: Introduction.- Averaging and Expectation Techniques for Linear DT Systems.- Lifting Techniques for Linear DT Systems.- Moving Averaging Techniques for Linear DT Systems.- Switching System Techniques for Linear DT Systems.- Moving Averaging Tehcniques for

Iterative Learning Control for Systems with Iteration-Varying Trial Lengths: Synthesis and Analysis, Shen Dong, Li Xuefang