DocumentCode
3385058
Title
Adaptive Synchronization of Lorenz System and Third-order CNN with Uncertain Parameters
Author
Yi, Xinlei ; Zhang, Longmei ; Sun, Naizhen ; Liu, Anping
Author_Institution
Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China
Volume
3
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
227
Lastpage
231
Abstract
This work presents chaos synchronization between the uncertain chaotic Lorenz system and the certain chaotic third-order Cellular Neural Networks (CNN) via adaptive control. Based on Lyapunov stability theory, an adaptive controller and parameters estimation update laws for unknown parameters are given such that the two different chaotic systems are to be synchronized globally and asymptotically. Theoretical analysis and numerical simulations are shown to verify the results.
Keywords
Lyapunov methods; adaptive control; cellular neural nets; nonlinear systems; parameter estimation; stability; synchronisation; uncertain systems; Lyapunov stability theory; adaptive control; adaptive synchronization; certain chaotic third-order cellular neural networks; parameters estimation update laws; uncertain chaotic Lorenz system; uncertain parameters; Adaptive control; Aerospace electronics; Chaotic communication; Parameter estimation; Synchronization; Adaptive control; Chaos synchronization; Lorenz system; chaotic; chaotic third-order CNN;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.285
Filename
5654781
Link To Document