Multi-architecture chaotic signal generator

Abstract

The invention relates to a multi-architecture chaotic signal generator which comprises a first access, a second access, a third access and a fourth access. The multi-architecture chaotic signal generator is realized by loading different controllers on the basis of a three-dimensional chaotic Lv system, wherein the controllers are divided into two major parts: constant controllers and state feedback controllers, and different controllers are combined with the chaotic Lv system organically by transition of two groups of dialing switches to obtain output signals of a single-scroll chaotic attractor, a double-scroll chaotic attractor, a four-scroll chaotic attractor and a special hyperchaotic attractor. The invention adopts a pure analog circuit method to design a uniform hardware circuit formed by multiple chaotic systems. Through comparison, the output result of the circuit is basically the same with a numerical simulation result, which shows that by using the circuit realization method, chaotic signal outputs with different characteristics can be obtained by simple transition of switches according to actual application needs in the field of information engineering.

Description

technical field [0001] The invention relates to a chaotic signal generator, in particular to a multi-system chaotic signal generator. Background technique [0002] Chaos is a common phenomenon in nature, and weather change is a typical chaotic movement. A well-known expression of the chaotic phenomenon is the "butterfly effect": a butterfly flapping its wings in South America will cause a hurricane in Florida. Chaos phenomenon refers to a definite but unpredictable motion state in nonlinear science. Its appearance is very similar to purely random motion, that is, it is unpredictable. However, unlike random motion, chaotic motion is dynamically deterministic, and its unpredictability comes from the instability of motion. In other words, the chaotic system is also sensitive to infinitesimal initial value changes and perturbations. No matter how small the disturbance is, it will completely deviate the system from the original evolution direction after a long time. [0003] ...

AI Technical Summary

Problems solved by technology

But unlike random motion, chaotic motion is dynamically deterministic, and its unpredictability comes from the instability of motion

In other words, the chaotic system is also sensitive to infinitesimal initial value changes and perturbations. No matter how small the disturbance is, the system will completely deviate from the original evolution direction after a long time.

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