Direct learning of LPV controllers from data

DOI10.1016/j.automatica.2015.11.031zbMath1328.93071OpenAlexW2192387287MaRDI QIDQ905785

Sergio M. Savaresi, Simone Formentin, Dario Piga, Roland Tóth

Publication date: 28 January 2016

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://research.tue.nl/nl/publications/direct-learning-of-lpv-controllers-from-data(480699b7-cfa7-4be5-bbc1-3789a65f868f).html

zbMATH Keywords

instrumental variablesidentification for controldata-driven controlLS-SVMLPV systems

Mathematics Subject Classification ID

Linearizations (93B18) Synthesis problems (93B50) Stochastic systems in control theory (general) (93E03)

Related Items (8)

Direct data‐driven design of switching controllers ⋮ PD with neuro-adaptive compensation control using the signed power function ⋮ Auto-tuning of reference models in direct data-driven control ⋮ Prediction-error identification of LPV systems: a nonparametric Gaussian regression approach ⋮ Optimal direct data-driven control with stability guarantees ⋮ Finite sample properties of virtual reference feedback tuning control ⋮ Direct data-driven design of LPV controllers with soft performance specifications ⋮ A data-driven switching control approach for braking systems with constraints

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