Neuro-Fuzzy Controllers

Pu Polytechnique - EAN : 9782880743550

GODJEVAC JELENA

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Édition papier

EAN : 9782880743550

Paru le : 1 déc. 1997

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Détails

EAN13 : 9782880743550
Réf. éditeur : G16116
Collection : P U POLYTEC ROM
Editeur : Pu Polytechnique
Date Parution : 1 déc. 1997
Disponibilite : Disponible
Barème de remise : NS
Nombre de pages : 168
Format : H:210 mm L:148 mm E:11 mm
Poids : 290gr
Interdit de retour : Retour interdit

Résumé

Résumé : Fuzzy controllers belong to the class of knowledge based systems. Their main goal is to implement human know-how or heuristic rules in the form of a computer
program. Fuzzy logic provides a mathematical formalism for this goal. An original method for the design and analysis of a fuzzy controller is proposed in this book.
The main idea is to apply an on-line adaptive algorithm to automatically adjust the parameters of the fuzzy controller, depending on its inputs and desired outputs. It is
shown that a fuzzy controller can learn to approximate non-linear functions arbitrarily well. The author also introduces a new method for the extraction of linguistic
rules from the adapted parameters. The knowledge acquired during learning can be represented in a clear and intuitive syntax. This gives the designer a
comprehensive understanding of the new rule base, i.e., the controller features. In the last part of the book, the application of fuzzy and neuro-fuzzy controllers to the
navigation of a mobile robot is investigated. Several experiments with the miniature mobile Khepera are reported. The proposed design method for fuzzy controller is
tested, showing that it provides the designer with a technique to handle complex tasks: the robot can successfully learn the desired behaviours, even with noisy
sensors and large rule bases. The extraction of rules reveals to be extremely useful for practical applications because it helps the engineer to learn more on the
complete system.