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Overview
More than two decades of intensive studies on non-linear dynamics have raised questions on the practical applications of chaos. One possible answer is to control chaotic behavior in a predictable way. This book, oneof the first on the subject, explores the ideas behind controlling chaos.Controlling Chaos explains, using simple examples, both the mathematical theory and experimental results used to apply chaotic dynamics to real engineering systems. Chuas circuit is used as an example throughout the book as it can be easily constructed in the laboratory and numerically modeled. The use of this example allows readers to test the theories presented. The text is carefully balanced between theory and applications to provide an in-depth examination of the concepts behind the complex ideas presented. In the final section, Kapitaniak brings together selected reprinted papers which have had a significant effect on the development of this rapidly growing interdisciplinary field. Controlling Chaos is essential reading for graduates, researchers, and students wishing to be at the forefront of this exciting new branch of science.
* Uses easy examples which can be repeated by the reader both experimentally and numerically
* The first book to present basic methods of controlling chaos
* Includes reprinted papers representing fundamental contributions to the field
* Discusses implementation of chaos controlling fundamentals as applied to practical problems
Audience: Post-graduates and research workers in the fields of Aerospace, Civil, Mechanical, and Electrical Engineering, Applied Mathematics, Physics, and Meteorology.
Synopsis
More than two decades of intensive studies on non-linear dynamics posed the question of the practical applications of chaos. One of the possible answers is to control chaotic behavior in such a way as to make it predictable. In this, the first book on the subject, the ideas behind controlling chaos are explored.
This volume explains, using simple examples, both the mathematical theory and experimental results used to apply chaotic dynamics to real engineering systems. Chua's circuit is used as an example throughout the book as it can be easily constructed in the laboratory and numerically modeled (it is piecewise linear), thus enabling the reader to test the theories presented in the book. The text is carefully balanced between theory and applications to allow the reader to fully grasp the concepts behind the complex ideas. In the final section of the book the author brings together carefully selected reprinted papers which have had a significant effect on the development of this rapidly growing interdisciplinary field.
Controlling Chaos is essential reading for graduates, researchers and students wishing to be at the forefront of this exciting new branch of science.