Abstract
Using and extending the approach in previous studies [2, 3] we demonstrate synchronization of two hyper chaotic cellular neural networks consisting of 25 cells governed by chaotic Rossler dynamics. We guarantee global asymptotic stability of the synchronization manifold by designing a nonlinear observer in such a way that the resulting error system is linear and time invariant. This linear error system is evaluated and a state feedback is designed to accomplish full state synchronization. Analytical as well as numerical simulation results are presented.
| Original language | English |
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| Title of host publication | Proceeding of Neurel 2006 |
| Pages | 41-44 |
| Publication status | Published - 2006 |
| Event | 8th seminar on Neural Network Applications in Electrical Engineering (NEUREL 2006) - Belgrade, Serbia Duration: 25 Sept 2006 → 27 Sept 2006 Conference number: 8 |
Conference
| Conference | 8th seminar on Neural Network Applications in Electrical Engineering (NEUREL 2006) |
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| Abbreviated title | NEUREL 2006 |
| Country/Territory | Serbia |
| City | Belgrade |
| Period | 25/09/06 → 27/09/06 |