Adaptive robust fuzzy control for a class of uncertain chaotic systems
Adaptive robust fuzzy control for a class of uncertain chaotic systems
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DOI：
10.1007/s11071-008-9453-0
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发表时间：
2009-08
影响因子：
5.6
通讯作者：
Yanjun Liu;Ya-Qin Zheng
中科院分区：
文献类型：
--
作者：
Yanjun Liu;Ya-Qin Zheng
针对一类不确定混沌系统，提出了一种自适应鲁棒模糊输出反馈控制方法。模糊逻辑系统被用来逼近混沌系统中的不确定非线性函数。由于只需要知道系统的部分状态信息，因此给出了一个观测器来估计不可测状态。与已有的观测器设计结果相比，放宽了动态不确定性的先验知识，考虑了一类更一般的混沌系统，提高了对逼近误差的鲁棒性。可以证明闭环系统在所有变量有界的意义下是稳定的。通过对统一混沌系统的仿真实例验证了该方法的有效性。
In this paper, the output feedback control of uncertain chaotic systems is addressed via an adaptive robust fuzzy approach. Fuzzy logic systems are employed to approximate uncertain nonlinear functions in the chaotic systems. Because only partial information of the system’s states is needed to be known, an observer is given to estimate the unmeasured states. Compared with the existing results in the observer design, the prior knowledge on dynamic uncertainties is relaxed and a class of more general chaotic systems is considered as well as robustness to the approximation error is improved. It can be proven that the closed-loop system is stable in the sense that all the variables are bounded. Simulation example for the unified chaotic systems is given to verify the effectiveness of the proposed method.