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 **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 **zolao** at Aug. 15, 2013

English | 2010 | ISBN: 1420092642 | 295 pages | PDF | 5 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 **interes** at July 13, 2014

English | 2012 | 315 Pages | ISBN: 1439819815 | PDF | 6,3 MB

Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive control design methods with an emphasis on modeling constrained systems, generating dynamic control models, and designing tracking control algorithms for the models.

Posted by **nebulae** at Oct. 1, 2013

English | 2012 | 315 Pages | ISBN: 1439819815 | PDF | 6 MB

Posted by **interes** at Nov. 14, 2014

English | 2014 | ISBN: 331907802X | 382 pages | PDF | 7,4 MB

This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS.

Posted by **AlenMiler** at July 21, 2016

4095633

Polynomial Fuzzy Model-Based Control Systems: Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques (Studies in Systems, Decision and Control) by Hak-Keung Lam

English | 5 Aug. 2016 | ISBN: 3319340921 | 318 Pages | PDF (True) | 6.49 MB

This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered.

Polynomial Fuzzy Model-Based Control Systems: Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques (Studies in Systems, Decision and Control) by Hak-Keung Lam

English | 5 Aug. 2016 | ISBN: 3319340921 | 318 Pages | PDF (True) | 6.49 MB

This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered.

Posted by **roxul** at July 15, 2013

English | 2010 | ISBN: 1420092642 | 295 pages | PDF | 5 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.