Dimiter Driankov,
Rainer Palm
Physica-Verlag HD
0e druk, 2013
9783662110539
Advances in Fuzzy Control
Specificaties
Paperback, 421 blz.
|
Engels
Physica-Verlag HD |
0e druk, 2013
ISBN13: 9783662110539
Rubricering
Onderdeel van serie
Studies in Fuzziness and Soft Computing
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783662110539
Taal:Engels
Bindwijze:paperback
Aantal pagina's:421
Uitgever:Physica-Verlag HD
Druk:0
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Inhoudsopgave
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.