Cantitate/Preț
Produs

Fuzzy Modeling and Control: Studies in Fuzziness and Soft Computing, cartea 69

Autor Andrzej Piegat
en Limba Engleză Hardback – 8 mai 2001
In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models obtained. Owing to this the modeling can be applied for the solution of problems which could not be solved till now with any known conventional methods. The book provides the reader with an advanced introduction to the problems of fuzzy modeling and to one of its most important applications: fuzzy control. It is based on the latest and most significant knowledge of the subject and can be used not only by control specialists but also by specialists working in any field requiring plant modeling, process modeling, and systems modeling, e.g. economics, business, medicine, agriculture,and meteorology.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 188085 lei  43-57 zile
  Physica-Verlag HD – 6 noi 2010 188085 lei  43-57 zile
Hardback (1) 188766 lei  43-57 zile
  Physica-Verlag HD – 8 mai 2001 188766 lei  43-57 zile

Din seria Studies in Fuzziness and Soft Computing

Preț: 188766 lei

Preț vechi: 235957 lei
-20% Nou

Puncte Express: 2831

Preț estimativ în valută:
36126 37525$ 30008£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783790813852
ISBN-10: 3790813850
Pagini: 748
Ilustrații: XIV, 728 p.
Dimensiuni: 155 x 235 x 45 mm
Greutate: 1.22 kg
Ediția:2001
Editura: Physica-Verlag HD
Colecția Physica
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Heidelberg, Germany

Public țintă

Research

Cuprins

1. Introduction.- 1.1 Essence of fuzzy set theory.- 1.2 Development of fuzzy set theory.- 2. Basic Notions of Fuzzy Set Theory.- 2.1 Fuzzy sets.- 2.2 Characteristic parameters (indices) of a fuzzy set.- 2.3 Linguistic modifiers of fuzzy sets.- 2.4 Types of membership functions of fuzzy sets.- 2.5 Type 2 fuzzy sets.- 2.6 Fuzziness and probability: two kinds of uncertainty.- 3. Arithmetic of Fuzzy Sets.- 3.1 The extension principle.- 3.2 Addition of fuzzy numbers.- 3.3 Subtraction of fuzzy numbers.- 3.4 Multiplication of fuzzy numbers.- 3.5 Division of fuzzy numbers.- 3.6 Peculiarities of fuzzy numbers.- 3.7 Differences between fuzzy numbers and linguistic values.- 4. Mathematics of Fuzzy Sets.- 4.1 Basic operations on fuzzy sets.- 4.2 Fuzzy relations.- 4.3 Implication.- 5. Fuzzy Models.- 5.1 Structure, main elements and operations in fuzzy models.- 5.2 Significant features of rules, rule bases and fuzzy models.- 5.3 Advice relating to rule base construction.- 5.4 Reduction of the rule base.- 5.5 Normalization (scaling) of the fuzzy model inputs and output.- 5.6 Extrapolation in fuzzy models.- 5.7 Types of fuzzy models.- 6. Methods of Fuzzy Modeling.- 6.1 Fuzzy modeling based on the system expert’s knowledge.- 6.2 Creation of fuzzy, self-tuning models based on input/output measurement data of the system.- 6.3 Creation of self-organizing and self-tuning fuzzy models based on input/output measurement data of the system.- 7. Fuzzy Control.- 7.1 Static fuzzy controllers.- 7.2 Dynamic fuzzy controllers.- 7.3 The determination of structures and parameters for fuzzy controllers (organization and tuning).- 8. The Stability of Fuzzy Control Systems.- 8.1 The stability of fuzzy control systems with unknown models of plants.- 8.2 The circle stability criterion.- 8.3 The application of hyperstability theory to analysis of fuzzysystem stability.- References.

Textul de pe ultima copertă

In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models obtained. Owing to this the modeling can be applied for the solution of problems which could not be solved till now with any known conventional methods. The book provides the reader with an advanced introduction to the problems of fuzzy modeling and to one of its most important applications: fuzzy control. It is based on the latest and most significant knowledge of the subject and can be used not only by control specialists but also by specialists working in any field requiring plant modeling, process modeling, and systems modeling, e.g. economics, business, medicine, agriculture,and meteorology.

Caracteristici

Survey of effective methods used today in fuzzy modeling and control by means of geometric bodies and surfaces, enabling the reader to use them in construction of own algorithms Problem vizualization by over 640 illustrations and numerous examples Includes new results and methods Includes supplementary material: sn.pub/extras