Abstract: A method to compute the differentiation error in presence of bounded measurement noise for the family of Generalized Super-Twisting ...

PDF | A method to compute the differentiation error in presence of bounded measurement noise for the family of Generalized Super-Twisting.

This manuscript presents a design of a differentiator in the digital domain with its low noise realization. It manifests the minimization of the L1 -error ...

Bibliographic details on The differentiation error of noisy signals using the Generalized Super-Twisting differentiator.

This note proposes a non-conservative upper bound for the differentiation error of the super-twisting differentiator in the presence of noisy measurements.

Mar 8, 2023 · This note proposes an upper bound for its worst-case differentiation error in the presence of bounded measurement noise, based on a novel ...

The error is bounded in terms of the infinity norms of the noise and a derivative of the signal. The error bound is independent of the frequency or derivatives ...

Jun 1, 2023 · The differentiation error of noisy signals using the generalized super-twisting differentiator. In 51st IEEE Conf. on decision and control ...

Sep 4, 2018 · The differentiation error of noisy signals using the generalized super-twisting differentiator. Paper presented at: 2012 51st IEEE ...

A comparative study of some different schemes of the differentiators is given: Kalman filter, the well-known Super Twisting algorithm, Super Twisted with