Limited-complexity controller tuning: A set membership data-driven approach

Data-driven tuning is an alternative to model-based controller design where controllers are directly identified from data, avoiding a plant identification step. In this paper, an approach to tune limited-complexity controllers from data for linear systems is proposed. The controller is parametrized...

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Bibliographic Details
Published in:	European journal of control Vol. 58; pp. 82 - 89
Main Authors:	Valderrama, Freddy, Ruiz, Fredy
Format:	Journal Article
Language:	English
Published:	Philadelphia Elsevier Ltd 01.03.2021 Elsevier Limited
Subjects:	Algorithms Basis functions Complexity Control systems design Controllers Datasets Experiments Identification for control Linear programming Linear systems Methods Model/Controller reduction Optimization Tuning Uncertain systems Linear systems Uncertain systems Identification for control Model/Controller reduction
ISSN:	0947-3580, 1435-5671
Online Access:	Get full text
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