Robust exact differentiators with predefined convergence time

TitleRobust exact differentiators with predefined convergence time
Publication TypeJournal Article
Year of Publication2021
AuthorsSeeber R, Haimovich H, Horn M, Fridman LM, De Battista H
KeywordsDisturbance rejection, Finite-time convergence, Fixed-time convergence, Sliding modes, super-twisting algorithm

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.

Research Line: 
TeorĂ­a de Control
Control theory
High order sliding mode algorithms
Algoritmos por modo deslizante de orden superior