Design of input for data-driven simulation with Hankel and Page matrices
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Author / Producer
Date
2021
Publication Type
Conference Paper
ETH Bibliography
yes
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Abstract
The paper deals with the problem of designing informative input trajectories for data-driven simulation. First, the excitation requirements in the case of noise-free data are discussed and new weaker conditions, which assume the simulated input to be known in advance, are provided. Then, the case of noisy data trajectories is considered and an input design problem based on a recently proposed maximum likelihood estimator is formulated. A Bayesian interpretation is provided, and the implications of using Hankel and Page matrix representations are demonstrated. Numerical examples show the impact of the designed input on the predictive accuracy.
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Publication status
published
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Editor
Book title
2021 60th IEEE Conference on Decision and Control (CDC)
Journal / series
Volume
Pages / Article No.
139 - 145
Publisher
IEEE
Event
60th Conference on Decision and Control (CDC 2021)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
08814 - Smith, Roy (Tit.-Prof.) (ehemalig) / Smith, Roy (Tit.-Prof.) (former)
Notes
Conference lecture held on December 13, 2021
Funding
178890 - Modeling, Identification and Control of Periodic Systems in Energy Applications (SNF)
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