Exact Differentiator with Lipschitz Continuous Output and Optimal Worst-Case Accuracy Under Bounded Noise-Reference-Cited by-同舟云学术

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Exact Differentiator with Lipschitz Continuous Output and Optimal Worst-Case Accuracy Under Bounded Noise

Published:2023-12-13 Issue: Volume:18 Page:7874-7880
ISSN:
Container-title:2023 62nd IEEE Conference on Decision and Control (CDC)
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Author:

Aldana-López Rodrigo¹,Seeber Richard²,Haimovich Hernan³,Gómez-Gutiérrez David⁴

Affiliation:

1. University of Zaragoza,Department of Computer Science and Systems Engineering,Zaragoza,Spain

2. Institute of Automation and Control, Graz University of Technology,Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems,Graz,Austria

3. CONICET-UNR,Centro Internacional Franco-Argentino de Ciencias de la Información y de Sistemas (CIFASIS),Rosario,Argentina,2000

4. Intel Tecnología de México, Intel Labs, Intelligent Systems Research Lab,Jalisco,Mexico

Funder

Christian Doppler Research Association

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383377.pdf?arnumber=10383377

Reference26 articles.

1. Online exact differentiation and notion of asymptotic algebraic observers

2. Numerical differentiation with annihilators in noisy environment

3. Optimum differentiation using Kalman filter theory

4. New differentiators for control and observation applications

5. Time-varying high-gain observers for numerical differentiation

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