logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Hierarchical Type2 Fuzzy Aggregation Of Fuzzy Controllers 1st Edition Leticia Cervantes

  • SKU: BELL-5236806
Hierarchical Type2 Fuzzy Aggregation Of Fuzzy Controllers 1st Edition Leticia Cervantes
$ 31.00 $ 45.00 (-31%)

4.3

8 reviews

Hierarchical Type2 Fuzzy Aggregation Of Fuzzy Controllers 1st Edition Leticia Cervantes instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 3.39 MB
Pages: 75
Author: Leticia Cervantes, Oscar Castillo
ISBN: 9783319266701, 3319266705
Language: English
Year: 2016
Edition: 1

Product desciption

Hierarchical Type2 Fuzzy Aggregation Of Fuzzy Controllers 1st Edition Leticia Cervantes by Leticia Cervantes, Oscar Castillo 9783319266701, 3319266705 instant download after payment.

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.

Related Products