A Stochastic Design Approach for Iterative Learning Observers for the Estimation of Periodically Recurring Trajectories and Disturbances-Reference-Cited by-同舟云学术

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A Stochastic Design Approach for Iterative Learning Observers for the Estimation of Periodically Recurring Trajectories and Disturbances

Published:2022-07-12 Issue: Volume: Page:
ISSN:
Container-title:2022 European Control Conference (ECC)
language:
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Author:

Rauh Andreas¹,Chevet Thomas²,Dinh Thach Ngoc³,Marzat Julien²,Raissi Tarek³

Affiliation:

1. Carl von Ossietzky Universität Oldenburg,Group: Distributed Control in Interconnected Systems,Department of Computing Science,Oldenburg,Germany,D-26111

2. ONERA, Université Paris-Saclay,DTIS,Palaiseau,France,91123

3. Conservatoire National des Arts et Métiers (CNAM),Paris Cedex 03,France,75141

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837955/9837961/09838288.pdf?arnumber=9838288

Reference16 articles.

1. Safe learning-based observers for unknown nonlinear systems using Bayesian optimization

2. Robust Interval Observer for Systems Described by the Fornasini–Marchesini Second Model

3. A dynamic lithium-ion battery model considering the effects of temperature and capacity fading

4. Nonlinear state observers and extended Kalman filters for battery systems

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