Advanced Applications of Fractional Differential Operators to Science and Technology - Softcover

Softcover

ISBN 10: 179983123X ISBN 13: 9781799831235

Publisher: Business Science Reference, 2020

Synopsis

Fractional-order calculus dates to the 19th century but has been resurrected as a prevalent research subject due to its provision of more adequate and realistic descriptions of physical aspects within the science and engineering fields. What was once a classical form of mathematics is currently being reintroduced as a new modeling technique that engineers and scientists are finding modern uses for. There is a need for research on all facets of these fractional-order systems and studies of its potential applications. Advanced Applications of Fractional Differential Operators to Science and Technology provides emerging research exploring the theoretical and practical aspects of novel fractional modeling and related dynamical behaviors as well as its applications within the fields of physical sciences and engineering. Featuring coverage on a broad range of topics such as chaotic dynamics, ecological models, and bifurcation control, this book is ideally designed for engineering professionals, mathematicians, physicists, analysts, researchers, educators, and students seeking current research on fractional calculus and other applied mathematical modeling techniques.

About this title

About the Author

Ahmed Ezzat Mohamed Matouk was born March 19, 1976. He received the B.Sc. in mathematics from Mathematics Department, Faculty of Science, Mansoura University, Mansoura, Egypt in 1999. He got the M.S. and PhD in Applied Mathematics from Mansoura University, respectively, in 2005 and 2013. His PhD thesis was titled “On Synchronization of Fractional Order Dynamical Systems.” He has been with the Mathematics Department, Faculty of Science at Majmaah University, Al-Majmaah, Saudi Arabia since 2017. His research interests include Fractional Calculus, Chaos Theory, Bifurcation Theory, Chaos Synchronization, Chaos Control, Complex Networks, and Mathematical Modeling.

Edition details

• Publisher: Business Science Reference
• Publication date: 2020
• Language: English
• ISBN 10: 179983123X
• ISBN 13: 9781799831235
• Binding: Paperback
• Number of pages: 401
• Editor: Matouk Ahmed Ezzat