Metadata only
Date
2015-11Type
- Conference Paper
ETH Bibliography
yes
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Abstract
An approach to design a feedback controller for nonlinear systems directly from experimental data is presented. Improving over a recently proposed technique, which employs exclusively a batch of experimental data collected in a preliminary experiment, here the control law is updated and refined during real-time operation, hence enabling an on-line learning capability. The theoretical properties of the described approach, in particular closed-loop stability and tracking accuracy, are discussed. Finally, the experimental results obtained with a water tank laboratory setup are presented. Show more
Publication status
publishedExternal links
Editor
Book title
17th IFAC Symposium on System Identification, SYSID 2015. ProceedingsJournal / series
IFAC-PapersOnLineVolume
Pages / Article No.
Publisher
ElsevierEvent
Subject
Data-driven control; Nonlinear systems; Direct control; Dynamic inversion; StabilityOrganisational unit
03416 - Morari, Manfred (emeritus)
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ETH Bibliography
yes
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