Год издания: 2007
Количество страниц: 230
В продаже с 18.01.2012
Как только книга Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems станет доступна для заказа в одном из интернет-магазинов, Вам на e-mail будет отправлено уведомление.Укажите e-mail для связи:
This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. Two key problems with the fundamentals of iterative learning control (ILC) design as treated by existing work are: first, many ILC design strategies assume nominal knowledge of the system to be controlled and; second, it is well-known that many ILC algorithms do not produce monotonic convergence, though in applications monotonic convergence is often essential. "Iterative Learning Control" takes account of the recently-developed comprehensive approach to robust ILC analysis and design established to handle the situation where the plant model is uncertain. Considering ILC in the iteration domain, it presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and...