@article {321,
	title = {Robust exact differentiators with predefined convergence time},
	journal = {Automatica},
	volume = {134},
	year = {2021},
	pages = {109858},
	abstract = {<p>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.</p>
},
	keywords = {Disturbance rejection, Finite-time convergence, Fixed-time convergence, Sliding modes, super-twisting algorithm},
	issn = {0005-1098},
	doi = {https://doi.org/10.1016/j.automatica.2021.109858},
	url = {https://www.sciencedirect.com/science/article/pii/S0005109821003782},
	author = {Seeber, Richard and Haimovich, Hernan and Horn, Martin and Fridman, Leonid M. and De Battista, Hern{\'a}n}
}
