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A state-observer based full-state asymptotic trajectory control (OFSTC) method
requiring a scalar state is presented to asymptotically drive all the states of
chaotic systems to arbitrary desired trajectories. It is no surprise that OFSTC can
obtain good tracking performance as desired due to using a state-observer.
Significantly OFSTC requires only a scalar state of chaotic systems. A sinusoidal
wave and two chaotic variables were taken as illustrative tracking trajectories to
validate that using OFSTC can make all the states of a unified chaotic system track
the desired trajectories with high tracking accuracy and in a finite time. It is
noted that this is the first time that the state-observer of chaotic systems is
designed on the basis of Kharitonov's Theorem. 相似文献
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基于分数阶系统稳定性理论,提出了用状态观测器来实现分数阶混沌系统完全状态投影同步的思想. 设计的状态观测器能够实现一类非线性分数阶系统的完全状态投影同步而不要求分数阶混沌系统是部分线性的,推广了投影同步的应用范围,且无需计算系统的条件Lyapunov指数. 另外,该方法理论严格,设计简单,能够达到任意比例因子的完全状态同步. 最后,利用该方法实现了分数阶Rssler系统的完全状态投影同步,数值仿真结果证实了它的有效性.
关键词:
分数阶
混沌系统
状态观测器
投影同步 相似文献
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Exponential synchronization of chaotic Lur’e systems with time-varying delay via sampled-data control 下载免费PDF全文
In this paper, we study the exponential synchronization of chaotic Lur'e systems with time-varying delays via sampled-data control by using sector nonlinearties. In order to make full use of information about sampling intervals and interval time-varying delays, new Lyapunov-Krasovskii functionals with triple integral terms are introduced. Based on the convex combination technique, two kinds of synchronization criteria are derived in terms of linear matrix inequal- ities, which can be efficiently solved via standard numerical software. Finally, three numerical examples are provided to demonstrate the less conservatism and effectiveness of the proposed results. 相似文献
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In this paper, a learning control approach is applied to
the generalized projective synchronisation (GPS) of different
chaotic systems with unknown periodically time-varying parameters.
Using the Lyapunov--Krasovskii functional stability theory, a
differential-difference mixed parametric learning law and an
adaptive learning control law are constructed to make the states of
two different chaotic systems asymptotically synchronised. The
scheme is successfully applied to the generalized projective
synchronisation between the Lorenz system and Chen system. Moreover,
numerical simulations results are used to verify the effectiveness
of the proposed scheme. 相似文献
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针对连续时间混沌(超混沌)系统的控制问题, 提出了一种基于扩张状态观测器的快速全线性广义预测控制算法. 利用线性扩张状态观测器估计和补偿混沌(超混沌)系统的非线性动力学和存在的不确定性, 将原始对象近似转化为积分器形式, 随后针对单积分器设计广义预测控制, 解决了预测控制计算量大的问题. 阶跃系数矩阵可以直接得到解析解, 而对于未来输出的预测则可以根据最近两个时刻的输出采样值直接计算得到, 避免了使用自校正算法和在线求解丢番图方程. 该线性算法可以直接应用于非线性对象的控制系统设计. 将该算法应用于典型Lorenz混沌系统的控制中, 数学仿真结果验证了有效性. 相似文献
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Suwat Kuntanapreeda 《Physics letters. A》2009,373(32):2837-2840
This Letter focuses on the master-slave synchronization problem of the unified chaotic systems. Based on Lyapunov stability theory and linear matrix inequality (LMI) formulation, a simple linear feedback control law is obtained to make the state of two identical unified chaotic systems asymptotically synchronized. Simulation results have illustrated the effectiveness of the proposed chaos synchronization solution. 相似文献
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考虑黄玮提出的新混沌系统,给出了该系统的脉冲控制与同步的充分条件, 并通过仿真实验验证了所给充分条件的正确性.在所给的充分条件中,所选取的矩阵B不必是对称矩阵,因此所给条件有更大的实用性. 相似文献