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Observer-based fuzzy adaptive control for non-linear time-varying delay systems with unknown control direction

机译:控制方向未知的非线性时变时滞系统基于观测器的模糊自适应控制

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A novel fuzzy state observer-based adaptive control is proposed for a class of strict-feedback non-linear time-varying delay systems with unknown control direction. A state observer with fuzzy approximators is established to estimate the system states. Based on the Nussbaum-type function in detecting the control direction and backstepping method, adaptive output feedback controller is constructed without requiring a priori knowledge of the signs of the unknown control directions, which can achieve the output tracking. It is rigourously proven that the proposed Lyapunov¿Krasovskii functionals and the adaptive backstepping method are able to guarantee semi-globally uniform ultimate boundedness of all the signals in the closed-loop systems, whereas the tracking error converges to a small neighbourhood of the origin. A main advantage of the proposed controller is that it contains only one novel adaptive parameter that needs to be updated online, which can improve the transient and steady-state performances, and the other one is that the proposed scheme can be applied to the systems that do not satisfy the matching conditions. Finally, the simulations had been provided to verify the effectiveness of the proposed scheme.
机译:针对一类未知控制方向的严格反馈非线性时变时滞系统,提出了一种基于模糊状态观测器的新型自适应控制方法。建立具有模糊近似器的状态观察器以估计系统状态。基于Nussbaum型检测控制方向的功能和反推方法,构建了自适应输出反馈控制器,无需先验了解未知控制方向的信号即可实现输出跟踪。严格证明,所提出的LyapunovðKrasovskii泛函和自适应反步方法能够保证闭环系统中所有信号的半全局一致的最终有界性,而跟踪误差收敛到该系统的一个小邻域。起源。所提出的控制器的主要优点在于,它仅包含一个需要在线更新的新颖的自适应参数,可以改善瞬态和稳态性能,而另一个优点是,所提出的方案可以应用于以下系统:不满足匹配条件。最后,提供了仿真以验证所提出方案的有效性。

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