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Discrete-Time Adaptive Super-Twisting Observer With Predefined Arbitrary Convergence Time

机译:具有预定义的任意收敛时间的离散时间自适应超扭转观察者

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This brief proposes an adaptive observer based on the super-twisting algorithm (STA) and its discrete-time realization with a predefined convergence time. In contrast to conventional adaptive STA that tries to adaptively reduces the gain sizes as much as possible in accordance with external disturbances, the proposed adaptive observer increases the gain sizes such that the convergence time is ensured to be within the predefined convergence-time period. The numerical chattering associated with these large gains is suppressed by employing the proposed discrete-time realization based on an implicit Euler discretization method. While keeping the property of predefined convergence time, the observation precision of the proposed discrete-time scheme is consistent with the STA, i.e., standard asymptotical second-order accuracy level. The superiority of the adaptive observer and its realization scheme is demonstrated through a circuit system example.
机译:本简述提出了一种基于超扭曲算法(STA)的自适应观察者及其具有预定义收敛时间的离散时间实现。 与传统的自适应STA相比,试图根据外部干扰尽可能地自适应地降低增益尺寸,所提出的自适应观察者增加了增益尺寸,使得收敛时间被确保在预定义的收敛 - 时间段内。 通过基于隐式欧拉离散化方法采用所提出的离散时间实现,抑制了与这些大增益相关联的数值抖动。 在保持预定义收敛时间的性质的同时,所提出的离散时间方案的观察精度与STA,即标准渐近二阶准确级别一致。 通过电路系统示例证明了自适应观察者及其实现方案的优越性。

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