Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (Repost)
Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems
Publisher: Springer | ISBN: 1846288460 | edition 2007 | PDF | 230 pages | 1,8 mb
Publisher: Springer | ISBN: 1846288460 | edition 2007 | PDF | 230 pages | 1,8 mb
This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. 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 iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.