Advances in Chaos Theory and Intelligent Control

Editors: Azar, Ahmad Taher, Vaidyanathan, Sundarapandian (Eds.)
Reports on the latest methodologies for the analysis, design and control of chaotic and hyperchaotic systems
Reports on the latest applications of intelligent control
Illustrates key concepts with computer simulations

The book reports on the latest advances in and applications of chaos theory and intelligent control. Written by eminent scientists and active researchers and using a clear, matter-of-fact style, it covers advanced theories, methods, and applications in a variety of research areas, and explains key concepts in modeling, analysis, and control of chaotic and hyperchaotic systems. Topics include fractional chaotic systems, chaos control, chaos synchronization, memristors, jerk circuits, chaotic systems with hidden attractors, mechanical and biological chaos, and circuit realization of chaotic systems. The book further covers fuzzy logic controllers, evolutionary algorithms, swarm intelligence, and petri nets among other topics. Not only does it provide the readers with chaos fundamentals and intelligent control-based algorithms; it also discusses key applications of chaos as well as multidisciplinary solutions developed via intelligent control. The book is a timely and comprehensive reference guide for graduate students, researchers, and practitioners in the areas of chaos theory and intelligent control.

Number of Illustrations and Tables
293 b/w illustrations, 127 illustrations in colour
Topics
Computational Intelligence
Vibration, Dynamical Systems, Control
Control , Robotics, Mechatronics
Artificial Intelligence (incl. Robotics)
Statistical Physics, Dynamical Systems and Complexity

Click Here to Buy the Hardcover from Springer



Click Here for More books