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Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers: SpringerBriefs in Applied Sciences and Technology

Autor Leticia Cervantes, Oscar Castillo
en Limba Engleză Paperback – 16 noi 2015
Thisbook focuses on the fields of fuzzy logic, granular computing and alsoconsidering the control area. These areas can work together to solve variouscontrol problems, the idea is that this combination of areas would enable evenmore complex problem solving and better results. Inthis book we test the proposed method using two benchmark problems: the totalflight control and the problem of water level control for a 3 tank system. Whenfuzzy logic is used it make it easy to performed the simulations, these fuzzysystems help to model the behavior of a real systems, using the fuzzysystems fuzzy rules are generated and with this can generate the behavior ofany variable depending on the inputs and linguistic value. For this reason thiswork considers the proposed architecture using fuzzy systems and with thisimprove the behavior of the complex control problems.
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Specificații

ISBN-13: 9783319266701
ISBN-10: 3319266705
Pagini: 90
Ilustrații: VIII, 69 p. 77 illus., 7 illus. in color.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.12 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile SpringerBriefs in Applied Sciences and Technology, SpringerBriefs in Computational Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Theory and Background.- Control Problem and Proposed Method.- Simulation Results.- Conclusions.

Textul de pe ultima copertă

Thisbook focuses on the fields of fuzzy logic, granular computing and alsoconsidering the control area. These areas can work together to solve variouscontrol problems, the idea is that this combination of areas would enable evenmore complex problem solving and better results. Inthis book we test the proposed method using two benchmark problems: the totalflight control and the problem of water level control for a 3 tank system. Whenfuzzy logic is used it make it easy to performed the simulations, these fuzzysystems help to model the behavior of a real systems, using the fuzzysystems fuzzy rules are generated and with this can generate the behavior ofany variable depending on the inputs and linguistic value. For this reason thiswork considers the proposed architecture using fuzzy systems and with thisimprove the behavior of the complex control problems.

Caracteristici

Focuses on the fields of fuzzy logic, granular computing and also considering the control area Tests the proposed method by using two benchmark problems: the total flight control and the problem of water level control for a 3 tank system Provides a reference book for scientists and engineers interested in applying fuzzy logic techniques for solving problems in intelligent control Includes supplementary material: sn.pub/extras