Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems by Hyo-Sung Ahn
Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems by Hyo-Sung Ahn
Publisher: Springer; Softcover reprint of hardcover 1st ed. 2007 edition (December 8, 2010) | ISBN: 1849966583 | Pages: 248 | PDF | 2.41 MB
Publisher: Springer; Softcover reprint of hardcover 1st ed. 2007 edition (December 8, 2010) | ISBN: 1849966583 | Pages: 248 | PDF | 2.41 MB
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.
Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems by Hyo-Sung Ahn
