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eBook Non-Identifier-Based High-Gain Adaptive Control (Lecture Notes in Control and Information Sciences) epub

by Achim Ilchmann

eBook Non-Identifier-Based High-Gain Adaptive Control (Lecture Notes in Control and Information Sciences) epub
  • ISBN: 3540198458
  • Author: Achim Ilchmann
  • Genre: Engineering
  • Subcategory: Engineering
  • Language: English
  • Publisher: Springer; 1 edition (September 24, 1993)
  • Pages: 207 pages
  • ePUB size: 1271 kb
  • FB2 size 1829 kb
  • Formats txt azw mobi mbr


High-Gain Adaptive Control. from Oc-tober 1990 - September 1992

High-Gain Adaptive Control. London Berlin Heidelberg New York Pads Tokyo Hong Kong. from Oc-tober 1990 - September 1992.

In mechatronics, there is often only rough knowledge of the system.

Isbn: 978-3-319-55034-3. In mechatronics, there is often has only rough knowledge of the system.

This book presents a state-of-the-art report on the following more specific . High-Gain Adaptive Control.

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. Springer-Verlag London Berlin Heidelberg New York Pads Tokyo Hong Kong Barcelona Budapest.

high-gain adaptive control. IMA Journal of Mathematical Control and Information 8 (4), 321-366, 1991. Springer-Verlag, 1993.

High-Gain Adaptive Control (Lecture Notes in Control and Information Sciences). 0387198458 (ISBN13: 9780387198453). Lists with This Book. This book is not yet featured on Listopia.

A. Ilchmann d high-gain adaptive control" in Lecture Notes in Control and Information Science Berlin:Springer-Verlag no. 189 1993. 9. K. Sato K. Watanabe H. Honda R. Oguro "A Design Method of an Adaptive PI Controller for a Positioning Mechanism with Stand" Procs. of the IEEE International Conference on Control Applications pp. 162-167 2000.

CM Hackl, N Hopfe, A Ilchmann, M Mueller, S Trenn. Non-identifier Based Adaptive Control in Mechatronics: Theory and Application. Springer - Series: Lecture Notes in Control and Information Sciences 466, 652, 2017. SIAM Journal on Control and Optimization 51 (2), 965-995, 2013. Predictive Control with Novel Virtual Flux Estimation for Back-to-Back Power Converters. Z Zhang, H Xu, M Xue, Z Chen, T Sun, R Kennel, C Hackl.

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.
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