A method for reducing implementation complexity in linear parameter-varying controllers

DOI10.1016/j.automatica.2022.110588zbMath1504.93159OpenAlexW4296122755WikidataQ114204699 ScholiaQ114204699MaRDI QIDQ2097743

Ricardo S. Sánchez Peña, Fernando Daniel Bianchi

Publication date: 14 November 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2022.110588

zbMATH Keywords

gain schedulingimplementation complexitylinear parameter varying (LPV) systems

Mathematics Subject Classification ID

Linear systems in control theory (93C05)

Uses Software

• SeDuMi
• YALMIP

Cites Work

• Unnamed Item
• Modeling and identification of linear parameter-varying systems
• Robust performance of linear parametrically varying systems using parametrically-dependent linear feedback
• Self-scheduled \({\mathcal H}_ \infty\) control of linear parameter-varying systems: A design example
• Comparison of LPV and nonlinear system theory: a realization problem
• Coprime factors reduction methods for linear parameter varying and uncertain systems
• Multiobjective output-feedback control via LMI optimization
• Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
• Optimisation-based modelling of LPV systems using an -objective
• Induced L2-norm control for LPV systems with bounded parameter variation rates
• LPV control and full block multipliers

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