Advances in Chaos Theory and Intelligent Control [electronic resource] /
edited by Ahmad Taher Azar, Sundarapandian Vaidyanathan.
- 1st ed. 2016.
- XII, 873 p. 420 illus., 127 illus. in color. online resource.
- Studies in Fuzziness and Soft Computing, 337 1860-0808 ; .
- Studies in Fuzziness and Soft Computing, 337 .
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. .
9783319303406
10.1007/978-3-319-30340-6 doi
Computational intelligence.
Multibody systems.
Vibration.
Mechanics, Applied.
Control engineering.
Robotics.
Automation.
Artificial intelligence.
System theory.
Mathematical physics.
Computational Intelligence.
Multibody Systems and Mechanical Vibrations.
Control, Robotics, Automation.
Artificial Intelligence.
Complex Systems.
Theoretical, Mathematical and Computational Physics.
Q342
006.3
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. .
9783319303406
10.1007/978-3-319-30340-6 doi
Computational intelligence.
Multibody systems.
Vibration.
Mechanics, Applied.
Control engineering.
Robotics.
Automation.
Artificial intelligence.
System theory.
Mathematical physics.
Computational Intelligence.
Multibody Systems and Mechanical Vibrations.
Control, Robotics, Automation.
Artificial Intelligence.
Complex Systems.
Theoretical, Mathematical and Computational Physics.
Q342
006.3