Title
Robust exact differentiators with predefined convergence time
Abstract
The problem of exactly differentiating a signal with bounded second derivative is considered. A class of differentiators is proposed, which converge to the derivative of such a signal within a fixed, i.e., a finite and uniformly bounded convergence time. A tuning procedure is derived that allows to assign an arbitrary, predefined upper bound for this convergence time. It is furthermore shown that this bound can be made arbitrarily tight by appropriate tuning. The usefulness of the procedure is demonstrated by applying it to the well-known uniform robust exact differentiator, which is included in the considered class of differentiators as a special case.
Year
DOI
Venue
2021
10.1016/j.automatica.2021.109858
Automatica
Keywords
DocType
Volume
Sliding modes,Super-twisting algorithm,Finite-time convergence,Fixed-time convergence,Disturbance rejection
Journal
134
Issue
ISSN
Citations 
1
0005-1098
3
PageRank 
References 
Authors
0.43
0
5
Name
Order
Citations
PageRank
Richard Seeber1249.22
Haimovich Hernan230.43
Martin Horn34824.11
Leonid M. Fridman41999211.93
Hernán De Battista561.53