A convex relaxation approach to set-membership identification of LPV systems

DOI10.1016/j.automatica.2013.05.028zbMath1364.93824OpenAlexW2047876668MaRDI QIDQ2628501

Dario Piga, Diego Regruto, Vito Cerone

Publication date: 2 June 2017

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://eprints.imtlucca.it/2473/1/Aut2013PigaPreprint.pdf

zbMATH Keywords

parameter boundsconvex relaxationlinear parameter varyingLMI relaxationbounded-error identification

Mathematics Subject Classification ID

Semidefinite programming (90C22) Nonconvex programming, global optimization (90C26) Control/observation systems with incomplete information (93C41) Linear systems in control theory (93C05) Identification in stochastic control theory (93E12)

Related Items (5)

A convex relaxation approach to set-membership identification of LPV systems ⋮ Set-membership errors-in-variables identification of MIMO linear systems ⋮ LPV system identification under noise corrupted scheduling and output signal observations ⋮ A linear programming approach to online set membership parameter estimation for linear regression models ⋮ Towards efficient maximum likelihood estimation of LPV-SS models

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