Advances in Chaos Theory and Intelligent Control [electronic resource] / edited by Ahmad Taher Azar, Sundarapandian Vaidyanathan.
Contributor(s): Azar, Ahmad Taher [editor.] | Vaidyanathan, Sundarapandian [editor.] | SpringerLink (Online service).
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BookSeries: Studies in Fuzziness and Soft Computing: 337Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XII, 873 p. 420 illus., 127 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319303406.Subject(s): Engineering | Artificial intelligence | Statistical physics | Dynamical systems | Computational intelligence | Vibration | Dynamics | Control engineering | Robotics | Mechatronics | Engineering | Computational Intelligence | Vibration, Dynamical Systems, Control | Control, Robotics, Mechatronics | Artificial Intelligence (incl. Robotics) | Statistical Physics, Dynamical Systems and ComplexityAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: 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. .
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. .
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