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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yi-bin Li Yong Song Xue-wen Rong |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Control Science and Engineering, Shandong University, Jinan, China (Yi-bin Li; Yong Song; Xue-wen Rong) |
| Abstract | Owing to the original Ott-Grebogi-Yorke(OGY) method can only be applied to the discrete dynamical systems or continuous dynamical systems which can be described by Poincare mapping, a novel method for controlling chaos is proposed by resorting to echo state network. The network was trained by the input and output sample which were generated by OGY method. The chaos controller can drive the chaotic attractor embedded in the unstable orbit to the unstable fixed point. The simulation results of Henon mapping verify that neural network controller can drive the chaos system to unstable fixed point in short time. The neural network controller greatly speeds up the stabilization process of controlling chaos system. |
| Starting Page | 60 |
| Ending Page | 63 |
| File Size | 735085 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424467129 |
| e-ISBN | 9781424467129 |
| DOI | 10.1109/WCICA.2010.5553854 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Chaos Orbits Artificial neural networks Nonlinear dynamical systems Control systems Educational institutions Henon mapping chaos control echo state network OGY method |
| Content Type | Text |
| Resource Type | Article |
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