Integration of Fuzzy Logic and Chaos Theory

• Corporate Author: SpringerLink (Online service)
• Other Authors: Li, Zhong (Editor), Halang, Wolfgang A. (Editor), Chen, Guanrong (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Series: Studies in Fuzziness and Soft Computing, 187
• Subjects: Engineering.; Artificial intelligence.; Dynamics.; Ergodic theory.; Applied mathematics.; Engineering mathematics.; Statistical physics.; Dynamical systems.; Vibration.; Appl.Mathematics/Computational Methods of Engineering.; Statistical Physics, Dynamical Systems and Complexity.; Artificial Intelligence (incl. Robotics).; Dynamical Systems and Ergodic Theory.; Vibration, Dynamical Systems, Control.; Applications of Mathematics.

This book attempts to present some current research progress and results on the interplay of fuzzy logic and chaos theory. More specifically, this book includes a collection of some state-of-theart surveys, tutorials, and application examples written by some experts working in the interdisciplinary...

Table of Contents:

• Beyond the Li-Yorke Definition of Chaos
• Chaotic Dynamics with Fuzzy Systems
• Fuzzy Modeling and Control of Chaotic Systems
• Fuzzy Model Identification Using a Hybrid mGA Scheme with Application to Chaotic System Modeling
• Fuzzy Control of Chaos
• Chaos Control Using Fuzzy Controllers (Mamdani Model)
• Digital Fuzzy Set-Point Regulating Chaotic Systems: Intelligent Digital Redesign Approach
• Anticontrol of Chaos for Takagi-Sugeno Fuzzy Systems
• Chaotification of the Fuzzy Hyperbolic Model
• Fuzzy Chaos Synchronization via Sampled Driving Signals
• Bifurcation Phenomena in Elementary Takagi-Sugeno Fuzzy Systems
• Self-Reference, Chaos, and Fuzzy Logic
• Chaotic Behavior in Recurrent Takagi-Sugeno Models
• Theory of Fuzzy Chaos for the Simulation and Control of Nonlinear Dynamical Systems
• Complex Fuzzy Systems and Their Collective Behavior
• Real-Time Identification and Forecasting of Chaotic Time Series Using Hybrid Systems of Computational Intelligence
• Fuzzy-Chaos Hybrid Controllers for Nonlinear Dynamic Systems
• Fuzzy Model Based Chaotic Cryptosystems
• Evolution of Complexity
• Problem Solving via Fuzziness-Based Coding of Continuous Constraints Yielding Synergetic and Chaos-Dependent Origination Structures
• Some Applications of Fuzzy Dynamic Models with Chaotic Properties.