Lorenz chaotic synchronization method based on intelligent gain feedback adjustment

A feedback adjustment and chaotic synchronization technology, which is applied in secure communication through chaotic signals, digital transmission systems, electrical components, etc., can solve the problems of complex implementation of chaotic synchronization schemes, large dependence on accurate models, and low synchronization accuracy.

Inactive Publication Date: 2016-09-21
YANTAI UNIV
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a state measurement based on the Lorentz-driven chaotic system and the response system, construct feedback according to the state error information, and adopt the method of gain intelligent adjustment to realize the synchroniz

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Lorenz chaotic synchronization method based on intelligent gain feedback adjustment
  • Lorenz chaotic synchronization method based on intelligent gain feedback adjustment
  • Lorenz chaotic synchronization method based on intelligent gain feedback adjustment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0090] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0091] A method for synchronizing Lorenz chaotic systems based on intelligent gain feedback adjustment, such as figure 1 shown, including the following steps:

[0092] Step 1: Measure the state x of the Lorentz-driven chaotic system as follows 1 ,y 1 ,z 1 ,And a:

[0093] x · 1 = α 1 ( y 1 - x 1 )

[0094] y · 1 = γ 1 x 1 - x 1 z 1 - y ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a Lorenz chaotic synchronization method based on intelligent gain feedback adjustment. By using the measurement information of a Lorenz driving chaotic system and a response system, an error system is formed, then a synchronization rule is formed by the intelligent gain feedback adjustment of an error, and finally the synchronization of an uncertain Lorenz driving chaotic system and a response chaotic system is realized. The method comprises the steps of (1) measuring the state information x1, y1 and z1 of the Lorenz driving chaotic system and constructing a driving chaotic system, (2) measuring the state information x2, y2 and z2 of a Lorenz response system and constructing the response chaotic system, (3) constructing a virtual error systems ex, ey and ez and calculating the states e1, e2 and e3 of the error system, and (4) constructing error feedback synchronization control rules u1, u2 and u3, and designing related coefficients. The invention provides the Lorenz chaotic synchronization method based on the intelligent gain feedback adjustment, and the scheme is simple to realize by only using the state error information of a driving response system.

Description

technical field [0001] The invention belongs to the technical field of synchronizing a chaotic system in chaotic secure communication, and in particular relates to a method for synchronizing a Lorenz chaotic system based on intelligent gain feedback adjustment. Background technique [0002] Due to the sensitive dependence of chaos on initial conditions, even if two identical chaotic systems evolve from almost identical initial conditions, their trajectories quickly become mutually uncorrelated, which makes chaotic signals long-term unpredictability and Anti-interception capability. At the same time, the chaotic system itself is deterministic, completely determined by the equations, parameters and initial conditions of the nonlinear system, so the chaotic signal is easy to generate and replicate. The high randomness, unpredictability, high complexity, broadband characteristics and system equations, parameters and initial conditions of the chaotic signal, as well as its ease ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04L9/00
CPCH04L9/001
Inventor 王新宇孙卫明
Owner YANTAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap