Analysis of linear methods for robust identification in \(\ell_ 1\)

DOI10.1016/0005-1098(94)00163-DzbMath0823.93017OpenAlexW2053369714WikidataQ56319498 ScholiaQ56319498MaRDI QIDQ1894437

Pertti M. Mäkilä, Jonathan R. Partington

Publication date: 23 October 1995

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(94)00163-d

zbMATH Keywords

robustidentificationworst-case analysislinear algorithmsleast-square\(\ell_ 1\) identification

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) System identification (93B30) Linear systems in control theory (93C05)

Related Items

Robust system identification with noisy experimental data: Projection operator and linear algorithms, Identification in \({\mathcal H}_ \infty\) using Pick's interpolation, Worst-case identification of nonlinear fading memory systems, On robustness in control and LTI identification: near-linearity and non-conic uncertainty, Modelling of uncertain systems via linear programming, Subspace-based identification of infinite-dimensional multivariable systems from frequency-response data, On the worst-case divergence of the least-squares algorithm, On the sample-complexity of ?? identification, Rejection of persistent bounded disturbances: Nonlinear controllers, Worst-case identification in Banach spaces, The sample complexity of worst-case identification of FIR linear systems, Identification and adaptive control: Towards a complexity-based general theory

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