Finite-time complex function synchronization of multiple complex-variable chaotic systems with network transmission and combination mode-Reference-Cited by-同舟云学术

Finite-time complex function synchronization of multiple complex-variable chaotic systems with network transmission and combination mode

Published:2018-01-31 Issue:22 Volume:24 Page:5461-5471
ISSN:1077-5463
Container-title:Journal of Vibration and Control
language:en
Short-container-title:Journal of Vibration and Control

Author:

Chen Xiangyong¹²³^ORCID,Cao Jinde²⁴,Park Ju H⁵,Zong Guangdeng³,Qiu Jianlong¹⁶

Affiliation:

1. School of Automation and Electrical Engineering and Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong (Linyi University), China

2. School of Mathematics, Southeast University, China

3. College of Engineering, Qufu Normal University, China

4. Department of Mathematics, Faculty of Science, King Abdulaziz University, Saudi Arabia

5. Department of Electrical Engineering, Yeungnam University, Republic of Korea

6. Department of Information Technology, King Abdulaziz University, Saudi Arabia

Abstract

Two kinds of finite-time complex function synchronization for multiple complex-variable chaotic systems are investigated. Both the transmission mode and combination mode are respectively considered. By considering complex functions as the scaling factors, the definitions of the two different synchronization mechanisms are established, and the appropriate schemes are proposed to guarantee the finite-time stability of all error systems. Furthermore, two verifiable criteria are derived to synchronize multi-systems. Finally, detailed simulation analysis is provided to validate the effectiveness of all innovations.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science

Link

http://journals.sagepub.com/doi/pdf/10.1177/1077546318755168

Reference26 articles.

1. Sliding mode synchronization of multiple chaotic systems with uncertainties and disturbances

2. The real and complex Lorenz equations and their relevance to physical systems

3. The complex Lorenz equations

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