Fuzzy Logic Identification and Predictive Control Book [PDF] Download

Download the fantastic book titled Fuzzy Logic Identification and Predictive Control written by Jairo Jose Espinosa Oviedo, 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 "Fuzzy Logic Identification and Predictive Control", which was released on 04 January 2007. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Fuzzy Logic Identification and Predictive Control by Jairo Jose Espinosa Oviedo PDF

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 is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.


Detail About Fuzzy Logic Identification and Predictive Control PDF

  • Author : Jairo Jose Espinosa Oviedo
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Total Pages : 274 pages
  • ISBN : 1846280877
  • PDF File Size : 29,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Fuzzy Logic, Identification and Predictive Control

Fuzzy Logic, Identification and Predictive Control
  • Publisher : Springer Science & Business Media
  • File Size : 48,9 Mb
  • Release Date : 04 January 2007
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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

Fuzzy Logic, Identification and Predictive Control

Fuzzy Logic, Identification and Predictive Control
  • Publisher : Springer
  • File Size : 29,9 Mb
  • Release Date : 12 October 2009
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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

Fuzzy Modeling for Control

Fuzzy Modeling for Control
  • Publisher : Springer Science & Business Media
  • File Size : 34,5 Mb
  • Release Date : 06 December 2012
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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,

Fuzzy Model Identification for Control

Fuzzy Model Identification for Control
  • Publisher : Springer Science & Business Media
  • File Size : 53,9 Mb
  • Release Date : 06 December 2012
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This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemical and process engineering illustrate the main methods and techniques. Supporting MATLAB

Fuzzy Control and Identification

Fuzzy Control and Identification
  • Publisher : John Wiley & Sons
  • File Size : 21,7 Mb
  • Release Date : 10 March 2011
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This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while

Fuzzy Modeling and Fuzzy Control

Fuzzy Modeling and Fuzzy Control
  • Publisher : Springer Science & Business Media
  • File Size : 33,6 Mb
  • Release Date : 17 October 2007
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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

Type-2 Fuzzy Logic

Type-2 Fuzzy Logic
  • Publisher : Springer
  • File Size : 27,6 Mb
  • Release Date : 23 July 2017
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This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the

Fuzzy System Identification and Adaptive Control

Fuzzy System Identification and Adaptive Control
  • Publisher : Springer
  • File Size : 53,8 Mb
  • Release Date : 11 June 2019
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This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design techniques help readers applying these powerful