Receding Horizon Cost-Aware Adaptive Sampling for Environmental Monitoring-Reference-Cited by-同舟云学术

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Receding Horizon Cost-Aware Adaptive Sampling for Environmental Monitoring

Published:2023 Issue: Volume:7 Page:1069-1074
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

Westermann Johannes¹^ORCID,Mayer Jana²,Petereit Janko³^ORCID,Noack Benjamin⁴^ORCID

Affiliation:

1. Powersystems Technology & Digitalization Center, Daimler Truck AG, Mannheim, Germany

2. AI Team, Knowtion GmbH, Karlsruhe, Germany

3. Fraunhofer Research Center Machine Learning, Fraunhofer IOSB, Karlsruhe, Germany

4. Autonomous Multisensor Systems Group, Institute for Intelligent Cooperating Systems, Otto von Guericke University Magdeburg, Magdeburg, Germany

Funder

Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, within the ROBDEKON Project and the Daimler Truck AG

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7782633/9828546/09991834.pdf?arnumber=9991834

Reference22 articles.

1. Information-maximizing adaptive design of experiments for wind tunnel testing;choi;Engineering Optimization,2014

2. On Sequential Sampling for Global Metamodeling in Engineering Design

3. A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments

4. Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling

5. Practical Bayesian optimization of machine learning algorithms;snoek;Proc 25th Int Conf Neural Inf Process Syst,2012

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