Litcius/Paper detail

Robust exact differentiators with predefined convergence time

Richard Seeber, Hernan Haimovich, Martin Horn, Leonid Fridman, Hernán De Battista

2021Automatica85 citationsDOIOpen Access PDF

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.

Topics & Concepts

DifferentiatorConvergence (economics)Bounded functionUpper and lower boundsUniform boundednessMathematicsUniform convergenceControl theory (sociology)SIGNAL (programming language)Class (philosophy)Applied mathematicsComputer scienceMathematical analysisFilter (signal processing)Programming languageControl (management)EconomicsBandwidth (computing)Computer networkEconomic growthArtificial intelligenceComputer visionStability and Control of Uncertain SystemsAdaptive Control of Nonlinear SystemsControl Systems and Identification