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Robust-Exact-Differentiator-Inspired Discrete-Time Differentiation

delete2022-06-01
delete5
PRE
AI
M
Maximilian Wetzlinger *
M
Markus Reichhartinger
M
Martin Horn
DOI:10.1109/TAC.2021.3093522delete
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摘要

摘要

En 中文
This article proposes a discrete-time differentiation algorithm of arbitrary order inspired by the continuous-time uniform robust exact differentiator and the continuous-time arbitrary-order robust exact differentiator. As the well-known explicit Euler method is not suitable for discretizing algorithms with the fixed-time convergence property, a semi-implicit approach is proposed. The discrete-time differentiators of orders 2 and 3 are studied in detail, and it is proven that the estimation errors vanish independent of their initial condition in the unperturbed case. In the presence of perturbations, it is shown that the origin of the estimation errors is surrounded by an attractive set. Furthermore, the performance of the proposed algorithm is evaluated via simulation studies.
Keyword:
Eigenvalues and eigenfunctions
Convergence
Heuristic algorithms
Asymptotic stability
Tuning
Stability criteria
Perturbation methods
Discrete-time systems
sliding-mode control
stability of nonlinear systems

期刊

IEEE Transactions on Automatic Control 封面图
IEEE Transactions on Automatic Control
IF:
7
论文数:
1.3W
被引数:
6.7W

机构

G
Graz University of Technology
学者数:
6.7K
论文数: 6.3K
被引数: 8.5K
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