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

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

Posted by **tanas.olesya** at April 19, 2015

English | June 22, 2001 | ISBN: 0471323241 | 309 Pages | PDF | 5 MB

A comprehensive treatment of model-based fuzzy control systems.

Posted by **enmoys** at Feb. 24, 2015

2004 | 624 Pages | ISBN: 0135159415 | scanned PDF | 38 MB

Posted by **JohnZulzman** at Oct. 2, 2014

Wiley-Interscience; 1 edition | ISBN: 0471183733, 0471213756 | 432 pages | PDF | June 15, 1999 | English | 6.71 Mb

Posted by **bookwyrm** at Aug. 1, 2014

2004 | 624 Pages | ISBN: 0135159415 | scanned PDF | 38 MB

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 **gosiaiza** at Feb. 7, 2007

320 pages | Wiley-Interscience; 1 edition (June 22, 2001) | English | ISBN-10: 0471323241 | ISBN-13: 978-0471323242 | PDF |4.3 MB

Posted by **nebulae** at April 7, 2017

English | ISBN: 111927902X | 2017 | 528 pages | PDF | 17 MB

Posted by **naag** at March 22, 2017

English | ISBN: 0199456666 | 2015 | 692 pages | EPUB | 27 MB

Algorithms: Design and Analysis of is a textbook designed for the undergraduate and postgraduate students of computer science engineering, information technology, and computer applications. It helps the students to understand the fundamentals and applications of algorithms.

Posted by **Jeembo** at March 6, 2017

English | 2003 | ISBN: 0471274526 | 640 Pages | DJVU | 10.8 MB

A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time