Overview
- 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
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers
Authors: Leticia Cervantes, Oscar Castillo
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-319-26671-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2016
Softcover ISBN: 978-3-319-26670-1Published: 16 November 2015
eBook ISBN: 978-3-319-26671-8Published: 06 November 2015
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: VIII, 69
Number of Illustrations: 70 b/w illustrations, 7 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Control and Systems Theory, Logic Design