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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advances in Fuzzy Control

Advances in Fuzzy Control

Driankov, Dimiter
Palm, Rainer

Paperback

Series: Studies in Fuzziness and Soft Computing, Book 16

Technology & EngineeringGeneral Computers

ISBN10: 3662110539
ISBN13: 9783662110539
Publisher: Springer Nature
Published: Jul 13 2013
Pages: 421
Weight: 1.33
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English
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.

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