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Titlebook: Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers; Leticia Cervantes,Oscar Castillo Book 2016 The Editor(s) (if applicable) and T

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书目名称Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers
编辑Leticia Cervantes,Oscar Castillo
视频video
概述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 wa
丛书名称SpringerBriefs in Applied Sciences and Technology
图书封面Titlebook: Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers;  Leticia Cervantes,Oscar Castillo Book 2016 The Editor(s) (if applicable) and T
描述.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..
出版日期Book 2016
关键词Computational Intelligence; Hierarchical Type-2 Fuzzy Aggregation; Fuzzy Controllers; Fuzzy Logic; Granu
版次1
doihttps://doi.org/10.1007/978-3-319-26671-8
isbn_softcover978-3-319-26670-1
isbn_ebook978-3-319-26671-8Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Leticia Cervantes,Oscar CastilloFocuses 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 wa
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SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/h/image/426151.jpg
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Simulation Results,In this chapter simulation results are presented using the proposed method and the two cases of control. In each case of study the fuzzy systems are used and genetic algorithms are implemented to improve the results.
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