Learning Controllers From Data via Approximate Nonlinearity Cancellation

DOI10.1109/TAC.2023.3234889arXiv2201.10232OpenAlexW4313644371MaRDI QIDQ6184432

Claudio De Persis, Monica Rotulo, Pietro Tesi

Publication date: 25 January 2024

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2201.10232

zbMATH Keywords

linear matrix inequalitiesrobust controlcontrol designnonlinear control systemsdata-driven controllearning systems

Mathematics Subject Classification ID

Systems theory; control (93-XX)

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