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Hierarchical type-2 fuzzy aggregatio...

Castillo, Oscar.

Hierarchical type-2 fuzzy aggregation of fuzzy controllers[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	511.3
書名/作者:	Hierarchical type-2 fuzzy aggregation of fuzzy controllers/ by Leticia Cervantes, Oscar Castillo.
作者:	Cervantes, Leticia.
其他作者:	Castillo, Oscar.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	viii, 69 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy logic.
標題:	Granular computing.
標題:	Computational intelligence.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Control.
標題:	Logic Design.
ISBN:	9783319266718
ISBN:	9783319266701
內容註:	Theory and Background -- Control Problem and Proposed Method -- Simulation Results -- Conclusions.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-26671-8

Hierarchical type-2 fuzzy aggregation of fuzzy controllers[electronic resource] /
Cervantes, Leticia.

Hierarchical type-2 fuzzy aggregation of fuzzy controllers[electronic resource] /by Leticia Cervantes, Oscar Castillo. - Cham :Springer International Publishing :2016. - viii, 69 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

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

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.

ISBN: 9783319266718

Standard No.: 10.1007/978-3-319-26671-8doiSubjects--Topical Terms:

182737
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.3

Hierarchical type-2 fuzzy aggregation of fuzzy controllers[electronic resource] /
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505 0 $a Theory and Background -- Control Problem and Proposed Method -- Simulation Results -- Conclusions.
520 $a 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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