Subspace algorithms for identifying separable-in-denominator 2D systems with deterministic–stochastic inputs

DOI10.1080/00207179.2016.1172258zbMath1360.93189OpenAlexW2341058871MaRDI QIDQ2979578

Guillaume Mercère, José A. Ramos

Publication date: 25 April 2017

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2016.1172258

zbMATH Keywords

CCAN4SIDPO-MOESP2D separable-in-denominator Roesser model2D subspace system identificationdeterministic-stochastic inputs

Mathematics Subject Classification ID

Related Items (5)

A fast numerical test of multivariate polynomial positiveness with applications ⋮ Discrete Roesser state models from 2D frequency data ⋮ Multidimensional realisation theory and polynomial system solving ⋮ A stochastic subspace system identification algorithm for state-space systems in the general 2-D Roesser model form ⋮ Indirect closed-loop systems identification of distributed systems

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