A Chaotic Cellular Neural Network System Research and Implementation Based on FPGA

Abstract

Proposed a chaotic cellular neural network system, in-depth study of the system dynamic characteristics through theoretical analysis and simulation, to obtain the system Lyapunov exponent spectrum, also designed the hardware circuit, and get the physical implementation of chaos system through the FPGA, observing all kinds of chaotic attractor. The experimental results are fully consistent with the Matlab simulation results, thus this physical implementation is correct and feasible.

A Multiscroll Chaotic Attractors with Arrangement of Saddle-Shapes and Its Field Programmable Gate Array (FPGA) Implementation

“…However, as indicated in references [32,33], compared with Digital Signal Processor, Advanced RISC Machine, and Arduino, it has more advantageous to implement the chaotic system by using Field Programmable Gate Array since it has high flexibility and high computational efficiency. Hence, Field Programmable Gate Array attracts people's attention to implement nonlinear dynamics of systems, especially chaotic or hyperchaotic systems, including chaotic cellular neural network system [34], image chaotic communication [35], secure color image encryption algorithm based on chaotic signals [36], fractional order chaotic system [37], and a wireless hyperchaotic communication system [38].…”