Modeling of normalized coprime factors with ν-metric uncertainty

DOI10.1109/9.780414zbMath0958.93094OpenAlexW2103908706MaRDI QIDQ4506858

Guoxiang Gu

Publication date: 17 October 2000

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

Full work available at URL: https://semanticscholar.org/paper/ab51f7c2d425e43daaac2fbd996489f28bcac961

zbMATH Keywords

system identificationdiscrete Fourier analysisbalanced stochastic truncationfrequency response measurementnormalized coprime factor description

Mathematics Subject Classification ID

System identification (93B30) Identification in stochastic control theory (93E12)

Related Items (7)

Closed-loop model set validation under a stochastic framework ⋮ Identification of normalized coprime factors through constrained curve fitting ⋮ Algorithms for worst case identification in \(\mathcal H_{\infty}\) and in the \(\nu\)-gap metric ⋮ System identification for achieving robust performance ⋮ A convex optimization algorithm for frequency‐domain identification in the v‐gap metric ⋮ Nonparametric estimation for normalized coprime factors of a MIMO system ⋮ An improved computationally efficient identification method for errors-in-variables models based on v-gap optimisation

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