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Xiangyong Chen - One of the best experts on this subject based on the ideXlab platform.

  • adaptive synchronization of multiple uncertain coupled Chaotic Systems via sliding mode control
    Neurocomputing, 2018
    Co-Authors: Ju H. Park, Jinde Cao, Xiangyong Chen, Jianlong Qiu
    Abstract:

    Abstract This paper mainly investigates two kinds of sliding mode synchronization (SMS) for multiple Chaotic Systems with unknown parameters and disturbances. Both multiple coupled Systems and uncoupled Systems are considered. For multiple uncoupled Chaotic Systems (MUCSs), the sliding mode control scheme is designed to ensure that multiple response Systems synchronize with one drive system under the effects of external disturbances, and the appropriate adaptive laws are proposed to estimate unknown parameters. For multiple coupled Chaotic Systems (MCCSs), the definition of transmission synchronization is given first. Furthermore, a special integral sliding surfaces is selected, and the corresponding controllers with the compensation terms are developed to realize SMS between every drive Chaotic system and every respond system in transmission mode. Finally, some numerical examples are presented to illustrate the validity of theoretical results.

Jianlong Qiu - One of the best experts on this subject based on the ideXlab platform.

  • adaptive synchronization of multiple uncertain coupled Chaotic Systems via sliding mode control
    Neurocomputing, 2018
    Co-Authors: Ju H. Park, Jinde Cao, Xiangyong Chen, Jianlong Qiu
    Abstract:

    Abstract This paper mainly investigates two kinds of sliding mode synchronization (SMS) for multiple Chaotic Systems with unknown parameters and disturbances. Both multiple coupled Systems and uncoupled Systems are considered. For multiple uncoupled Chaotic Systems (MUCSs), the sliding mode control scheme is designed to ensure that multiple response Systems synchronize with one drive system under the effects of external disturbances, and the appropriate adaptive laws are proposed to estimate unknown parameters. For multiple coupled Chaotic Systems (MCCSs), the definition of transmission synchronization is given first. Furthermore, a special integral sliding surfaces is selected, and the corresponding controllers with the compensation terms are developed to realize SMS between every drive Chaotic system and every respond system in transmission mode. Finally, some numerical examples are presented to illustrate the validity of theoretical results.

Runfan Zhang - One of the best experts on this subject based on the ideXlab platform.

Zhou Ping - One of the best experts on this subject based on the ideXlab platform.

Jinde Cao - One of the best experts on this subject based on the ideXlab platform.

  • adaptive synchronization of multiple uncertain coupled Chaotic Systems via sliding mode control
    Neurocomputing, 2018
    Co-Authors: Ju H. Park, Jinde Cao, Xiangyong Chen, Jianlong Qiu
    Abstract:

    Abstract This paper mainly investigates two kinds of sliding mode synchronization (SMS) for multiple Chaotic Systems with unknown parameters and disturbances. Both multiple coupled Systems and uncoupled Systems are considered. For multiple uncoupled Chaotic Systems (MUCSs), the sliding mode control scheme is designed to ensure that multiple response Systems synchronize with one drive system under the effects of external disturbances, and the appropriate adaptive laws are proposed to estimate unknown parameters. For multiple coupled Chaotic Systems (MCCSs), the definition of transmission synchronization is given first. Furthermore, a special integral sliding surfaces is selected, and the corresponding controllers with the compensation terms are developed to realize SMS between every drive Chaotic system and every respond system in transmission mode. Finally, some numerical examples are presented to illustrate the validity of theoretical results.

  • Synchronization and anti-synchronization for Chaotic Systems
    Chaos Solitons & Fractals, 2007
    Co-Authors: Qiankun Song, Jinde Cao
    Abstract:

    Abstract Based on a suitable separation method, combined with the Lyapunov stability and the matrix measure theory, the complete synchronization and anti-synchronization for Chaotic Systems are investigated. Several sufficient conditions and some necessary and sufficient conditions are obtained respectively. It is proved that these criteria not only are easily verified, but also improve and generalize previously known results, since an adjustable non-singular matrix is given. They are of great significance in the design and applications of synchronization and anti-synchronization of Chaotic Systems. Two examples are given to show the effectiveness of the proposed method.