Posted by **libr** at May 20, 2017

English | 2010 | ISBN: 1420092642 | 295 pages | PDF | 5,6 MB

Posted by **step778** at Feb. 20, 2017

2006 | pages: 177 | ISBN: 3540370110 | PDF | 5,4 mb

Posted by **step778** at Feb. 13, 2017

2001 | pages: 309 | ISBN: 0471323241 | PDF | 1,6 mb

Posted by **libr** at Dec. 9, 2015

English | August 1, 2000 | ISBN-10: 0780334973 | 342 pages | PDF | 12.5 Mb

Posted by **DZ123** at Dec. 8, 2015

English | 1997 | ISBN: 020118074X | PDF | pages: 522 | 5,3 mb

Posted by **step778** at Sept. 5, 2014

2000 | pages: 329 | ISBN: 0849316588 | PDF | 3,8 mb

Posted by **interes** at July 29, 2014

English | 2010 | ISBN: 1420092642 | 295 pages | PDF | 5,6 MB

This book offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. Many chapters feature application simulation examples and practical numerical examples based on MATLAB.

Posted by **AlenMiler** at June 21, 2014

Wiley-Interscience | June 22 2001 | ISBN: 0471323241 | Pages: 320 | PDF | 5.37 MB

A comprehensive treatment of model-based fuzzy control systemsThis volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications.

Posted by **Specialselection** at Feb. 20, 2014

English | 2000-11-27 | ISBN: 0849316588 | 328 pages | PDF | 2.9 mb

Posted by **srinivasgoud** at July 5, 2010

BirkhĂ¤user Boston | 2006-09-26 | ISBN: 0817644911 | 416 pages | PDF | 16,3 MB

Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presents the first unified and thorough treatment of fuzzy modeling and fuzzy control, providing necessary tools for the control of complex nonlinear systems.