Non-Identifier-Based High-Gain Adaptive Control
Author | : Achim Ilchmann |
Publisher | : Springer |
Total Pages | : 228 |
Release | : 1993-08-18 |
ISBN-10 | : UOM:39015028911249 |
ISBN-13 | : |
Rating | : 4/5 (49 Downloads) |
Download or read book Non-Identifier-Based High-Gain Adaptive Control written by Achim Ilchmann and published by Springer. This book was released on 1993-08-18 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade the field of adaptive control where no identification mechanisms are invoked has become a major research topic. This book presents a state-of-the-art report on the following more specific area: the system classes under consideration contain linear (possibly nonlinearly perturbed), finite dimensional, continuous time systems which are stabilizable by high-gain output feedback. The properties of minimum phase systems and strictly positive real systems are studied in their own right. These results are applied to design simple adaptive controllers involving a switching strategy which is mainly tuned by a one parameter controller based on output data alone. Control objectives are stabilization, tracking, -tracking and servomechanism action. In addition, robustness with respect to nonlinear perturbations and performance improvements are investigated.