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Conference Papers Year : 2016

Discrete Sliding-Mode-Based Differentiators

Abstract

Sliding-mode-based differentiators of the input f(t) of the order k yield exact estimations of the derivatives f(1), … f(k), provided an upper bound of |f(k+1)(t)| is available in real time. Practical application involves discrete noisy sampling of f and numeric integration of the internal variables between the measurements. The corresponding asymptotic differentiation accuracies are calculated in the presence of Euler integration and discrete sampling, whereas both independently feature variable or constant time steps. Proposed discrete differentiators restore the optimal accuracy of their continuous-time counterparts. Simulation confirms the presented results.

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Dates and versions

hal-01338297 , version 1 (28-06-2016)

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  • HAL Id : hal-01338297 , version 1

Cite

Jean-Pierre Barbot, Arie Levant, Miki Livine, Davin Lunz. Discrete Sliding-Mode-Based Differentiators. The 14th International Workshop on Variable Structure Systems (VSS 2016), Jun 2016, Nanjing, Jiangsu, China. ⟨hal-01338297⟩
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