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Original Articles

Adaptation of Levant's differentiator based on barrier function

, ORCID Icon, , &
Pages 2019-2027 | Received 15 Feb 2017, Accepted 07 Nov 2017, Published online: 30 Nov 2017
 

ABSTRACT

An algorithm for adaptation of Levant's differentiator (LD) gains is designed for the case when the upper bound of second derivative of base signal exists but it is unknown. The barrier function is employed in this algorithm in order to adapt both gains of LD. Thanks to its feature, from the initial time moment it can be guaranteed that the error of estimation of signal belongs to a predefined vicinity of zero. Moreover, the proposed barrier algorithm can ensure the convergence of LD to some vicinity of the first derivative. This barrier adaptation enjoys two main advantages: it ensures a fast convergence and could indicate that LD does not converge in the case of noisy signal.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The study was supported by Franche-Comté Regional Council (France) [project RECH-MOB15000008]; PASPA and PAPIIT of UNAM [grant number IN131216].

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