Advances in Fuzzy Control
Published on 16. April 1998
Book
Hardback
VIII, 421 pages
978-3-7908-1090-5 (ISBN)
Description
Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model and a fuzzy controller, or a fuzzy model and a fuzzy controller. The major objective of the model-based fuzzy control is to use the full available range of existing linear and nonlinear design of such fuzzy controllers which have better stability, performance, and robustness properties than the corresponding non-fuzzy controllers designed by the use of these same techniques.
More details
Series
Language
English
Place of publication
Heidelberg
Germany
Target group
College/higher education
Professional and scholarly
Illustrations
52 s/w Abbildungen, 16 s/w Tabellen
52 black & white illustrations, 16 black & white tables, biography
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
760 gr
ISBN-13
978-3-7908-1090-5 (9783790810905)
DOI
10.1007/978-3-7908-1886-4
Schweitzer Classification
Other editions
Additional editions
Dimiter Driankov | Rainer Palm
Advances in Fuzzy Control
Book
07/2013
Physica
€53.49
Shipment within 7-9 days
Content
Stability Analysis of Fuzzy Models: Global Stability Analysis of Second-Order Fuzzy Systems; Quadratic Stability of Continuous-Time Fuzzy Control Systems; Fuzzy Stability Analysis of Fuzzy Systems: A Lyapunov Approach.- Inverse Fuzzy Models: Inverse Fuzzy Process Models for Robust Hybrid Control; Inverse Fuzzy Model Based Predictive Control.- Adaptive Fuzzy Control: Stable Adaptive Control Using Fuzzy Systems and Neural Networks; An Adaptive Fuzzy Sliding-Mode Controller; Discrete-Time Adaptive Fuzzy Logic Control of Feedback Linearizable Systems; Fuzzy Model Reference Learning Control.- Predictive Fuzzy Control: Development of a Fuzzy Relational-Based Predictive Controller; A Simplified Fuzzy Relational Structure for Adaptive Predictive Control; Predictive Control Based on a Fuzzy Model.- Gain Scheduled Fuzzy Control: Transient Performance, Robustness and Off-Equilibrium Linearisation in Fuzzy Gain Scheduled Control; Design of Fuzzy Gain Schedulers.