Robust approximate modelling of stable linear systems†

DOI10.1080/00207179308923021zbMath0782.93006OpenAlexW1996585443WikidataQ56319532 ScholiaQ56319532MaRDI QIDQ3137569

Jonathan R. Partington, Pertti M. Mäkilä

Publication date: 14 October 1993

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

Full work available at URL: https://doi.org/10.1080/00207179308923021

zbMATH Keywords

\(n\)-widthHelmicki-Jacobson-Nett problemstable shift-invariant systems

Mathematics Subject Classification ID

Related Items (8)

The least-squares identification of FIR systems subject to worst-case noise ⋮ Model quality evaluation in set membership identification ⋮ Asymptotically optimal orthonormal basis functions for LPV system identification ⋮ Worst-case control-relevant identification ⋮ Modelling of uncertain systems via linear programming ⋮ On approximation of stable linear dynamical systems using Laguerre and Kautz functions ⋮ Robust identification in the disc algebra using rational wavelets and orthonormal basis functions ⋮ A frequency-domain iterative identification algorithm using general orthogonal basis functions

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• On the metric complexity of casual linear systems: ε -Entropy and ε -Dimension for continuous time
• Approximation of infinite-dimensional systems
• Metric entropy and approximation

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