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Download the fantastic book titled An Introduction to Fuzzy Control written by Dimiter Driankov, 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 "An Introduction to Fuzzy Control", which was released on 09 March 2013. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of An Introduction to Fuzzy Control by Dimiter Driankov PDF

Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic to compute an appropriate control action. These fuzzy knowledge based controllers can be found either as stand-alone control elements or as integral parts of distributed control systems including conventional controllers in a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers have become a well established practice for Japanese manufacturers of control equipment and systems, and are becoming more and more common for their European and American counterparts. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. Thus the book is mainly oriented toward control engineers and theorists rather than fuzzy and non-fuzzy AI people. However, parts can be read without any knowledge of control theory and may be of interest to AI people. The book has six chapters. Chapter 1 introduces two major classes of knowledge based systems for closedloop control. Chapter 2 introduces relevant parts of fuzzy set theory and fuzzy logic. Chapter 3 introduces the principal design parameters of a fuzzy knowledge based controller (FKBC) and discusses their relevance with respect to its performance. Chapter 4 considers an FKBC as a particular type of nonlinear controller. Chapter 5 considers tuning and adaptation of FKBCs, which are nonlinear and so can be designed to cope with a certain amount of nonlinearity. Chapter 6 considers several approaches for stability analysis of FKBCs in the context of classical nonlinear dynamic systems theory.


Detail About An Introduction to Fuzzy Control PDF

  • Author : Dimiter Driankov
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Total Pages : 327 pages
  • ISBN : 3662111314
  • PDF File Size : 38,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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An Introduction to Fuzzy Control

An Introduction to Fuzzy Control
  • Publisher : Springer Science & Business Media
  • File Size : 42,9 Mb
  • Release Date : 09 March 2013
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Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic to compute an appropriate control action. These fuzzy knowledge based controllers can

An Introduction to Fuzzy Control

An Introduction to Fuzzy Control
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  • File Size : 46,7 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

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An introductory book that provides theoretical, practical,and application coverage of the emerging field of type-2 fuzzylogic control Until recently, little was known about type-2 fuzzy controllersdue to the lack

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An Introduction to Fuzzy Control

An Introduction to Fuzzy Control
  • Publisher : Springer
  • File Size : 48,9 Mb
  • Release Date : 12 March 2014
GET BOOK

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