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

Analysis And Synthesis For Interval Type2 Fuzzymodelbased Systems 1st Edition Hongyi Li

  • SKU: BELL-5486098
Analysis And Synthesis For Interval Type2 Fuzzymodelbased Systems 1st Edition Hongyi Li
$ 31.00 $ 45.00 (-31%)

5.0

60 reviews

Analysis And Synthesis For Interval Type2 Fuzzymodelbased Systems 1st Edition Hongyi Li instant download after payment.

Publisher: Springer Singapore
File Extension: PDF
File size: 4.87 MB
Pages: 263
Author: Hongyi Li, Ligang Wu, Hak-Keung Lam, Yabin Gao
ISBN: 9789811005923, 9789811005930, 9811005923, 9811005931
Language: English
Year: 2016
Edition: 1

Product desciption

Analysis And Synthesis For Interval Type2 Fuzzymodelbased Systems 1st Edition Hongyi Li by Hongyi Li, Ligang Wu, Hak-keung Lam, Yabin Gao 9789811005923, 9789811005930, 9811005923, 9811005931 instant download after payment.

This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers.
Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.

Related Products