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Chaos Synchronization of Uncertain Fractional-Order Chaotic Systems With Time Delay Based on Adaptive Fuzzy Sliding Mode Control

机译:基于自适应模糊滑模控制的不确定分数阶混沌系统的混沌同步

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摘要

This paper proposes an adaptive fuzzy sliding mode control (AFSMC) to synchronize two different uncertain fractional-order time-delay chaotic systems, which are infinite dimensional in nature, and time delay is a source of instability. Because modeling the behavior of dynamical systems by fractional-order differential equations has more advantages than integer-order modeling, the adaptive time-delay fuzzy-logic system is constructed to approximate the unknown fractional-order time-delay-system functions. By using Lyapunov stability criterion, the free parameters of the adaptive fuzzy controller can be tuned online by output-feedback-control law and adaptive law. The sliding mode design procedure not only guarantees the stability and robustness of the proposed AFSMC, but it also guarantees that the external disturbance on the synchronization error can be attenuated. The simulation example is included to confirm validity and synchronization performance of the advocated design methodology.
机译:提出了一种自适应模糊滑模控制(AFSMC)来使两个不确定的分数阶时滞混沌系统同步,该系统本质上是无限维的,时间延迟是不稳定的原因。由于用分数阶微分方程对动力系统的行为进行建模比整数阶建模具有更多的优势,因此构建了自适应时滞模糊逻辑系统来近似未知的分数阶时滞系统函数。通过使用Lyapunov稳定性准则,可以根据输出反馈控制律和自适应律在线调整自适应模糊控制器的自由参数。滑模设计程序不仅保证了所提出的AFSMC的稳定性和鲁棒性,而且还保证了可以减小对同步误差的外部干扰。包含仿真示例,以确认所倡导的设计方法的有效性和同步性能。

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