文献类型：期刊文献

中文题名：Finite-Time Generalized Synchronization and Parameter Identification of Chaotic Systems with Different Dimensions

作者：LI Dekui[1];WEI Xingmin[2]

第一作者：李德奎

机构：[1]Department of Science Teaching,Dingxi Campus,Gansu University of Chinese Medicine,Dingxi 743000,Gansu,China;[2]School of Public Health,Gansu University of Chinese Medicine,Lanzhou 730000,Gansu,China

第一机构：甘肃中医药大学定西校区

年份：2022

卷号：27

期号：2

起止页码：135

中文期刊名：Wuhan University Journal of Natural Sciences

外文期刊名：武汉大学学报（自然科学英文版）

收录：CSTPCD;;Scopus;CSCD:【CSCD2021_2022】；

基金：the National Natural Science Foundation of China(11161027);Natural Science Foundation of Gansu Province(21JR1RA259,20JR10RA329);the Foundation of Gansu Education Bureau(2020A-191)。

语种：英文

中文关键词：chaotic;Finite;finite;

摘要：Finite-time generalized synchronization and parameter identification of chaotic systems with different dimensions are studied in this paper.Based on finite-time stability theory,adaptive controllers and parameter identification rules are proposed to realize generalized synchronization of chaotic systems and identify accurately all their unknown parameters in finite time.At the same time,the obtained synchronization time formula can estimate the required longest time for realizing the generalized synchronization of chaotic systems,which solely depends on the initial values of chaotic systems and is easily calculated in numerical simulation.At the last,some numerical examples are presented to illustrate the effectiveness and correctness of the obtained conclusions.