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Recent Advances in Chaotic Systems and Synchronization: From Theory to Real World Applications is a major reference for scientists and engineers interested in applying new computational and mathematical tools for solving complex problems related to modeling, analyzing and synchronizing chaotic systems. Furthermore, it offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory and nonlinear systems from 19 countries (Cameroon, China, Ethiopia, France, Greece, India, Italia, Iran, Japan, Mexico, and more), this book covers the…mehr

Produktbeschreibung
Recent Advances in Chaotic Systems and Synchronization: From Theory to Real World Applications is a major reference for scientists and engineers interested in applying new computational and mathematical tools for solving complex problems related to modeling, analyzing and synchronizing chaotic systems. Furthermore, it offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory and nonlinear systems from 19 countries (Cameroon, China, Ethiopia, France, Greece, India, Italia, Iran, Japan, Mexico, and more), this book covers the latest advances in chaos theory, along with the efficiency of novel synchronization approaches.

Readers will find the fundamentals and algorithms related to the analysis and synchronization of chaotic systems, along with key applications, including electronic design, text and image encryption, and robot control and tracking.
Autorenporträt
Pr. Olfa Boubaker is a full professor at the National Institute of Applied Sciences and Technology (INSAT) at the University of Carthage, Tunisia, where she specializes in control theory, nonlinear systems, and robotics. She holds a Ph.D. in Electrical Engineering from the National Engineering School of Tunis and a Habilitation Universitaire in Control Engineering from the National Engineering School of Sfax. Prof. Boubaker is the series editor of the book series Medical Robots and Devices: New Developments and Advances."

Sajad Jafari was born in Kermanshah, Iran, in 1983. He received his BSc., M.S., and Ph.D. degrees in biomedical engineering in 2005, 2008, 2013 from biomedical engineering department, Amirkabir University of technology, Tehran, Iran. He is currently an Assistant Professor in there (since 2013). His research interests include artificial intelligence, optimization, pattern recognition and especially nonlinear and chaotic signals and systems. Dr Sajad Jafari is closely associated with several reputable international journals as a reviewer and he is the author/coauthor of more than 100 peer-reviewed papers.