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Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm
Author
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-27
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a systematic design methodology for neural-network- (NN-) based secure communications in multiple time-delay chaotic (MTDC) systems with optimal H∞ performance and cryptography.
On the basis of the Improved Genetic Algorithm (IGA), which is demonstrated to have better performance than that of a traditional GA, a model-based fuzzy controller is then synthesized to stabilize the MTDC systems.
A fuzzy controller is synthesized to not only realize the exponential synchronization, but also achieve optimal H∞ performance by minimizing the disturbance attenuation level.
Furthermore, the error of the recovered message is stated by using the n-shift cipher and key.
Finally, a numerical example with simulations is given to demonstrate the effectiveness of our approach.
American Psychological Association (APA)
Hsiao, Feng-Hsiag. 2015. Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-22.
https://search.emarefa.net/detail/BIM-1078956
Modern Language Association (MLA)
Hsiao, Feng-Hsiag. Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm. The Scientific World Journal No. 2015 (2015), pp.1-22.
https://search.emarefa.net/detail/BIM-1078956
American Medical Association (AMA)
Hsiao, Feng-Hsiag. Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-22.
https://search.emarefa.net/detail/BIM-1078956
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078956