Introduction to Fuzzy Systems

Introduction to Fuzzy Systems

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Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic control theory. Introduction to Fuzzy Systems is primarily designed to provide training for systems and control majors, both senior undergraduate and first year graduate students, to acquaint them with the fundamental mathematical theory and design methodology required to understand and utilize fuzzy control more

Product details

  • Hardback | 332 pages
  • 162.6 x 236.2 x 22.9mm | 589.68g
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • United States
  • English
  • 124 black & white illustrations, 21 black & white tables
  • 1584885319
  • 9781584885313

Table of contents

Each chapters ends with a problem set Fuzzy Set Theory: Classical Set Theory Fuzzy Set Theory Interval Arithmetic Operations on Fuzzy Sets: Fuzzy Logic Theory Classical Logic Theory The Boolean Algebra Multi-Valued Logic Fuzzy Logic and Approximate Reasoning Fuzzy Relations Some Applications of Fuzzy Logic Product Quality Evaluation Decision Making for Investment Performance Evaluation Miscellaneous Examples Fuzzy Rule Base and Fuzzy Modeling Fuzzy Rule Base Fuzzy Modeling Fuzzy Control Systems Classical Programmable Logic Control Fuzzy Logic Control: A General Model-Free Approach Fuzzy PID Control Systems Conventional PID Controllers Fuzzy PID Controllers (Type 1) Fuzzy PID Controllers (Type 2) Fuzzy PID Controllers: Stability Analysis Computational Verb Fuzzy Controllers Computational Verbs and Verb Numbers Verb Rules and Verb Inference Computational Verb-Based Fuzzy PID Controllers References Solutions more