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Beschreibung
Model Based Fuzzy Control
uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers with better stability, performance, and robustness properties than non-fuzzy controllers designed using the same techniques. This objective has already been achieved for fuzzy sliding mode controllers and fuzzy gain schedulers - the main topics of this book. The primary aim of the book is to serve as a guide for the practitioner and to provide introductory material for courses in control theory.
Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
Details
| Verlag | Springer Berlin |
| Ersterscheinung | 01. Dezember 2010 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 318 Gramm |
| Format | Softcover |
| ISBN-13 | 9783642082627 |
| Seiten | 186 |
Schlagwörter
Applied Dynamical Systems, Artificial Intelligence, Automated Pattern Recognition, Computer-Aided Design (CAD), Computer-Aided Engineering (CAD - CAE) and Design, Control - Robotics - Automation, Kybernetik und Systemtheorie, Künstliche Intelligenz, Mathematik für Ingenieure, Mustererkennung, Regelungstechnik, Special Purpose and Application-Based Systems, Wissensbasierte Systeme - Expertensysteme
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