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Fuzzy state observer based command-filtered adaptive control of uncertain nonlinear systems

机译:基于模糊状态观测器的不确定非线性系统命令过滤自适应控制

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This paper is devoted to the precise tracking control problem of uncertain nonlinear systems in strict feedback form with unmeasured states. Adaptive fuzzy observer is designed to reconstruct system states with nonlinear feedback term. The weight update laws of fuzzy systems are developed by observer error. Meanwhile, the output feedback control signal is designed based on the obtained fuzzy observer and nonlinear differentiator. The stability of the whole closed-loop system is shown to be ultimately uniformly bounded(UUB) by Lyapunov method. Finally, results performing on numerical example validate the effectiveness of the proposed control scheme.
机译:本文致力于不确定状态下具有严格反馈形式的不确定非线性系统的精确跟踪控制问题。自适应模糊观测器被设计为利用非线性反馈项来重构系统状态。模糊系统的权重更新定律是由观测者误差发展而来的。同时,基于获得的模糊观测器和非线性微分器,设计了输出反馈控制信号。 Lyapunov方法证明了整个闭环系统的稳定性最终是均匀有界的(UUB)。最后,在数值示例上执行的结果验证了所提出的控制方案的有效性。

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