Five-dimensional four-wing memristor hyper-chaotic system and design, analysis and implementation method thereof
A technology of system design and implementation method, applied in computer-aided design, CAD circuit design, calculation, etc.
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no. 2 example
[0065]
[0066] 1. Balance point and stability analysis
[0067] The equilibrium point of the equation (1) of the five-dimensional four-wing memristive hyperchaotic system can be obtained by solving differential equations; specifically, the right part of the equation (1) of the five-dimensional four-wing memristive hyperchaotic system is zero, its equation expression is:
[0068]
[0069] Through equation (3), it is easy to conclude that the equilibrium point of system equation (1) is the multi-line equilibrium point where b is an integer and n is any real constant.
[0070] multiline balance point The Jacobian matrix at point O of the five-dimensional four-wing memristive hyperchaotic system can be obtained:
[0071]
[0072] According to the Jacobian matrix (4), the characteristic equation of the system equation (1) can be obtained as follows:
[0073]
[0074] Equation (5) can be written as (6)
[0075] λ(λ+1)[λ 3 +m 1 lambda 2 +m 2 λ+m 3 ] = 0 (6)
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no. 3 example
[0102]
[0103] Designing chaotic systems using analog electronic circuits with discrete components is one of the most commonly used methods today, but the devices in analog circuits are prone to aging and inflexibility, so more and more researchers have begun to focus on digital devices FPGA. FPGA has the characteristics of high-speed computing, high integration, and free design, and can easily generate chaotic signals. Nowadays, many numerical algorithms are used to solve nonlinear differential equations of chaotic systems. Euler's algorithm is the simplest of all algorithms, but it is not very accurate. Heron's algorithm produces more sensitive results than Euler's algorithm. The Runge-Kutta algorithm has the characteristics of high precision, stable calculation process, and easy implementation. Its operation effect is better than other algorithms. The fourth-order Runge-Kutta algorithm is easier to implement than the fifth-order Runge-Kutta algorithm. The fourth-order ...
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