中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Function Projective Lag Synchronization of Chaotic Systems with Certain Parameters via Adaptive-impulsive Control

文献类型:期刊论文

作者Xiu-Li Chai2; Zhi-Hua Gan1
刊名International Journal of Automation and Computing
出版日期2019
卷号16期号:2页码:238-247
关键词Function projective lag synchronization (FPLS) adaptive-impulsive chaotic systems numerical simulation Lyapunov stability theory.
ISSN号1476-8186
DOI10.1007/s11633-016-1020-4
英文摘要A new method is presented to study the function projective lag synchronization (FPLS) of chaotic systems via adaptive-impulsive control. To achieve synchronization, suitable nonlinear adaptive-impulsive controllers are designed. Based on the Lyapunov stability theory and the impulsive control technology, some effective sufficient conditions are derived to ensure the drive system and the response system can be rapidly lag synchronized up to the given scaling function matrix. Numerical simulations are presented to verify the effectiveness and the feasibility of the analytical results.
源URL[http://ir.ia.ac.cn/handle/173211/42334]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Institute of Intelligent Network System, School of Software, Henan University, Kaifeng 475004, China
2.Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475004, China
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GB/T 7714
Xiu-Li Chai,Zhi-Hua Gan. Function Projective Lag Synchronization of Chaotic Systems with Certain Parameters via Adaptive-impulsive Control[J]. International Journal of Automation and Computing,2019,16(2):238-247.
APA Xiu-Li Chai,&Zhi-Hua Gan.(2019).Function Projective Lag Synchronization of Chaotic Systems with Certain Parameters via Adaptive-impulsive Control.International Journal of Automation and Computing,16(2),238-247.
MLA Xiu-Li Chai,et al."Function Projective Lag Synchronization of Chaotic Systems with Certain Parameters via Adaptive-impulsive Control".International Journal of Automation and Computing 16.2(2019):238-247.

入库方式: OAI收割

来源:自动化研究所

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