The robust exact differentiator toolbox revisited: Filtering and discretization features

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung


An extended version of a Simulink® -block providing on-line differentiation algorithms based on discretized sliding-mode concepts is presented. Based on user-specified settings it computes estimates of the time-derivatives of the input signal up to order ten. Different discrete-time estimation algorithms as well as optional filtering properties can be selected. The paper includes an overview of the implemented algorithms, a detailed explanation of the developed Simulink® -block and two examples. The first example illustrates the application of the toolbox in a numerical simulation environment whereas the second one shows results obtained via an electrical laboratory setup.

Titel2021 IEEE International Conference on Mechatronics, ICM 2021
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
ISBN (elektronisch)9781728144429
PublikationsstatusVeröffentlicht - 7 März 2021
Veranstaltung2021 IEEE International Conference on Mechatronics: ICM 2021 - Virtuell, Japan
Dauer: 7 März 20219 März 2021


Konferenz2021 IEEE International Conference on Mechatronics
KurztitelICM 2021

ASJC Scopus subject areas

  • Artificial intelligence
  • Maschinenbau
  • Steuerung und Optimierung


Untersuchen Sie die Forschungsthemen von „The robust exact differentiator toolbox revisited: Filtering and discretization features“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren