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Fuzzy adaptive observer backstepping control for MIMO nonlinear systems

机译:MIMO非线性系统的模糊自适应观测器反演控制。

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摘要

In this paper, a fuzzy adaptive backstepping output feedback control approach is developed for a class of multi-input and multi-output (MIMO) nonlinear systems with unmeasured states. Using fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive observer is designed for state estimation as well as system identification. Combining with the backstepping design techniques, a fuzzy adaptive output feedback control is constructed recursively. It is proved that the proposed fuzzy adaptive control approach can guarantee the semi-global uniform ultimate boundedness for all the signals and the tracking error to a small neighborhood of the origin. Simulation studies illustrate the effectiveness of the proposed approach.
机译:本文针对一类具有不可测状态的多输入多输出(MIMO)非线性系统,开发了一种模糊自适应反推输出反馈控制方法。使用模糊逻辑系统近似未知的非线性函数,设计了一个模糊自适应观测器,用于状态估计和系统识别。结合反推设计技术,递归构造了模糊自适应输出反馈控制。实践证明,所提出的模糊自适应控制方法可以保证所有信号的半全局一致的最终有界性和对原点小邻域的跟踪误差。仿真研究表明了该方法的有效性。

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