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State observer-based adaptive fuzzy output-feedback control for a class of uncertain nonlinear systems

机译:一类不确定非线性系统的基于状态观测器的自适应模糊输出反馈控制

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摘要

This paper aims to develop state observer-based adaptive fuzzy control techniques for controlling a class of uncertain nonlinear systems with bounded external disturbances. An adaptive fuzzy observer is proposed to estimate the system state variables. It is shown that the observation errors obtained from the observer are uniformly ultimately bounded. Applying the estimated system state for design of an output-feedback controller, the uniformly ultimate boundedness of the tracking errors for the resulting closed-loop system can be guaranteed. A typical robot arm system is employed in our simulation studies, and the results demonstrate the usefulness and effectiveness of the proposed techniques for controlling nonlinear systems with bounded external disturbances.
机译:本文旨在开发一种基于状态观测器的自适应模糊控制技术,用于控制一类带有外部干扰的不确定非线性系统。提出了一种自适应模糊观测器来估计系统状态变量。结果表明,从观察者那里得到的观察误差最终是一致地有界的。将估计的系统状态应用到输出反馈控制器的设计中,可以保证最终闭环系统的跟踪误差的一致最终极限。在我们的仿真研究中采用了典型的机械臂系统,结果表明了所提出的技术在控制带有外部干扰的非线性系统中的有用性和有效性。

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