Model Based Fuzzy Control Book [PDF] Download

Download the fantastic book titled Model Based Fuzzy Control written by Rainer Palm, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Model Based Fuzzy Control", which was released on 17 April 2013. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Model Based Fuzzy Control by Rainer Palm PDF

Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers with better stability, performance, and robustness properties than non-fuzzy controllers designed using the same techniques. This objective has already been achieved for fuzzy sliding mode controllers and fuzzy gain schedulers - the main topics of this book. The primary aim of the book is to serve as a guide for the practitioner and to provide introductory material for courses in control theory.


Detail About Model Based Fuzzy Control PDF

  • Author : Rainer Palm
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 195 pages
  • ISBN : 3662034018
  • PDF File Size : 11,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Model Based Fuzzy Control

Model Based Fuzzy Control
  • Publisher : Springer Science & Business Media
  • File Size : 45,8 Mb
  • Release Date : 17 April 2013
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Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of

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Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great success as an alternative to conventional

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Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling of partly-known nonlinear systems. Fuzzy models can effectively integrate information from different sources, such as physical laws,

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Fuzzy Control Systems Design and Analysis
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A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the

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Fuzzy logic methodology has proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology is applicable to many real-world

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  • File Size : 22,9 Mb
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Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description

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  • File Size : 20,9 Mb
  • Release Date : 29 June 2013
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Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral

Advances in Fuzzy Control

Advances in Fuzzy Control
  • Publisher : Physica
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  • Release Date : 17 April 2013
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Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding

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  • File Size : 39,8 Mb
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The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where