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June 21, 2011IEEE Transactions on Automatic Control554 citations

Uniform Robust Exact Differentiator

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ECEmmanuel Cruz‐ZavalaJMJaime A. MorenoLFLeonid Fridman

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Abstract

The differentiators based on the Super-Twisting Algorithm (STA) yield finite-time and theoretically exact convergence to the derivative of the input signal, whenever this derivative is Lipschitz. However, the convergence time grows unboundedly when the initial conditions of the differentiation error grow. In this technical note a Uniform Robust Exact Differentiator (URED) is introduced. The URED is based on a STA modification and includes high-degree terms providing finite-time, and exact convergence to the derivative of the input signal, with a convergence time that is bounded by some constant independent of the initial conditions of the differentiation error. Strong Lyapunov functions are used to prove the convergence of the URED.

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Cite This Study

Cruz‐Zavala et al. (2011) studied this question.

synapsesocial.com/papers/6a1bca90b33628da419cdde0https://doi.org/10.1109/tac.2011.2160030
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