具有三角结构的不确定混沌系统的自适应神经网络投影同步  

Adaptive Neural Network Projection Synchronization for Uncertain Chaotic Systems with Triangular Structure

作　　者：刘凤艳 LIU Feng-yan(School of Finance and Mathematics,Huainan Normal University,Huainan 232001,China)

机构地区：[1]淮南师范学院金融与数学学院,安徽淮南232001

出　　处：《通化师范学院学报》2020年第4期29-32,共4页Journal of Tonghua Normal University

基　　金：淮南师范学院科学研究项目(2017xj84).

摘　　要：研究了一类具有三角结构的不确定混沌系统的自适应神经网络投影同步方法.把神经网络应用到不确定的混沌系统中.基于Lyapunov稳定性定理,导出了一种自适应同步控制器.在提出的投影同步方法的建立中,不需要知道系统不确定项的先验知识.最后给出了仿真结果,用于验证本文的研究结果的正确性.In this paper,a practical projective synchronization method for a class of chaotic systems with tri?angular structure and systems uncertainties is considered.Neural network is employed to approximate the system uncertainties.Based on Lyapunov stability theorem,an adaptive synchronization controller is derived.In the establishment of the proposed projection synchronization method,the prior knowledge of system uncer?tainties is not needed.Finally,the simulation results are given to verify the research results of this paper.

关 键 词：混沌系统 自适应神经网络控制 投影同步 

分 类 号：O23[理学—运筹学与控制论]