Reduction of data amount in data-driven design of linear quadratic regulators

DOI10.1007/s11768-024-00220-yMaRDI QIDQ6636956

Xin Xin, Shinsaku Izumi

Publication date: 12 November 2024

Published in: Control Theory and Technology (Search for Journal in Brave)

zbMATH Keywords

linear systemsRiccati equationlinear quadratic regulatorsstochastic propertiesdata-driven design

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Cites Work

• Title not available (Why is that?)
• Virtual reference feedback tuning: A direct method for the design of feedback controllers
• Low-complexity learning of linear quadratic regulators from noisy data
• Data-driven control via Petersen's lemma
• Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones

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