Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers / by Leticia Cervantes, Oscar Castillo
By: Cervantes, Leticia
Contributor(s): Castillo, Oscar
Material type: 
E-bookSeries: SpringerBriefs in Applied Sciences and TechnologyPublisher: Cham : Springer International Publishing, 2016Edition: 1st ed.Description: 1 recurso en línea (VIII, 69 p.) 77 il., 7 il. col..ISBN: 9783319266718.Subject: Lógica difusaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Summary: This book focuses on the fields of fuzzy logic, granular computing and also considering the control area. These areas can work together to solve various control problems, the idea is that this combination of areas would enable even more complex problem solving and better results. In this book we test the proposed method using two benchmark problems: the total flight control and the problem of water level control for a 3 tank system. When fuzzy logic is used it make it easy to performed the simulations, these fuzzy systems help to model the behavior of a real systems, using the fuzzy systems fuzzy rules are generated and with this can generate the behavior of any variable depending on the inputs and linguistic value. For this reason this work considers the proposed architecture using fuzzy systems and with this improve the behavior of the complex control problems.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA9.64 .C478 2016 EB (Browse shelf(Opens below)) | .i11589000 | Acceso electrónico | eBOOK .i11589000 |
This book focuses on the fields of fuzzy logic, granular computing and also considering the control area. These areas can work together to solve various control problems, the idea is that this combination of areas would enable even more complex problem solving and better results. In this book we test the proposed method using two benchmark problems: the total flight control and the problem of water level control for a 3 tank system. When fuzzy logic is used it make it easy to performed the simulations, these fuzzy systems help to model the behavior of a real systems, using the fuzzy systems fuzzy rules are generated and with this can generate the behavior of any variable depending on the inputs and linguistic value. For this reason this work considers the proposed architecture using fuzzy systems and with this improve the behavior of the complex control problems.
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