FPGA implementation of two fractional order chaotic systems
Autor: | Ahmad Taher Azar, Ahmed H. Madian, Mohammed F. Tolba, Lobna A. Said, Amr M. AbdelAty, Nancy S. Soliman, Ahmed G. Radwan |
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Rok vydání: | 2017 |
Předmět: |
Hardware architecture
Virtex Chaotic 020206 networking & telecommunications 02 engineering and technology Lyapunov exponent Topology Nonlinear Sciences::Chaotic Dynamics Computer Science::Hardware Architecture 03 medical and health sciences symbols.namesake 0302 clinical medicine Control theory Attractor 0202 electrical engineering electronic engineering information engineering symbols Order (group theory) Electrical and Electronic Engineering Field-programmable gate array 030217 neurology & neurosurgery Mathematics Parametric statistics |
Zdroj: | AEU - International Journal of Electronics and Communications. 78:162-172 |
ISSN: | 1434-8411 |
DOI: | 10.1016/j.aeue.2017.04.028 |
Popis: | This paper discusses the FPGA implementation of the fractional-order derivative as well as two fractional-order chaotic systems where one of them has controllable multi-scroll attractors. The complete hardware architecture of the Grunwald-Letnikov (GL) differ-integral is realized with different memory window sizes. As an application of the proposed circuit, a complete fractional-order FPGA implementation of Liu chaotic system is introduced with different fractional-orders. Moreover, a fractional-order controllable heart and V-shape multi-scrolls chaotic systems are verified in the case of symmetric and asymmetric cases. Different interesting attractors are realized under various parametric changes with distinct step sizes for different fractional-orders. To verify the chaotic behavior of many generating attractors, the Maximum Lyapunov Exponent (MLE) is calculated for such systems. The designs have been simulated using Xilinx ISE 14.5 and realized on Xilinx FPGA Virtex 5 XC 5 VLX 50 T . The achieved throughputs are: 4.4 Gbit/s for GL, 1.986 Gbit/s for Liu system, and 2.921 Gbit/s for V-Shape multi-scroll attractor. |
Databáze: | OpenAIRE |
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