Advances in Fuzzy Control

Rainer Palm

ISBN 10: 3662110539 / ISBN 13: 9783662110539

Published by Physica-Verlag HD Jul 2013, 2013

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 432 pp. Englisch.

Seller Inventory # 9783662110539

Bibliographic Details

• Title: Advances in Fuzzy Control
• Publisher: Physica-Verlag HD Jul 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 3662110539
• ISBN 13: 9783662110539
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 24D millimeters 235 millimeters width by 155 millimeters height by 24 millimeters depth
• Weight: 651 grams

About this title

Synopsis

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.