Iterative Learning Control

Iterative Learning Control PDF

Author: Hyo-Sung Ahn

Publisher: Springer Science & Business Media

Published: 2007-06-28

Total Pages: 237

ISBN-13: 1846288592

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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.

Mathematical Methods for Robust and Nonlinear Control

Mathematical Methods for Robust and Nonlinear Control PDF

Author: Matthew C. Turner

Publisher: Springer Science & Business Media

Published: 2007-10-23

Total Pages: 444

ISBN-13: 1848000251

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The underlying theory on which much modern robust and nonlinear control is based can be difficult to grasp. This volume is a collection of lecture notes presented by experts in advanced control engineering. The book is designed to provide a better grounding in the theory underlying several important areas of control. It is hoped the book will help the reader to apply otherwise abstruse ideas of nonlinear control in a variety of real systems.

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