Affine linear parameter-varying embedding of non-linear models with improved accuracy and minimal overbounding

DOI10.1049/iet-cta.2020.0474zbMath1542.93161MaRDI QIDQ6611579

Bardia Sharif, Roland Tóth, Arash Sadeghzadeh

Publication date: 26 September 2024

Published in: IET Control Theory \& Applications (Search for Journal in Brave)

zbMATH Keywords

linear systemsschedulingnonlinear systemsnonlinear modelsnonlinear control systemsgyroscopesnonlinear functionsmodel accuracyLPV modelcontrol system synthesisstate-space methodscomplete embeddinggain-scheduled controllerinput variablesnonlinear system modelaffine linear parameter-varying embeddingaffine scheduling dependencyapproximative embeddingautomated generationexisting LPV embeddingsfirst-principle motion modellinear parameter-varying state-space modelslow scheduling complexityLPV state-space modelminimal overboundingresulting embeddingscheduling variablestrade-off between scheduling complexity

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Linear systems in control theory (93C05)

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