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.
- ISBN13 9781846288463
- Publish Date 26 June 2007 (first published 22 September 1999)
- Publish Status Active
- Publish Country GB
- Imprint Springer London Ltd
- Edition 2007 ed.
- Format Hardcover
- Pages 230
- Language English