A fundamental approach to the convergence analysis of least squares algorithms

DOI10.1109/TAC.1981.1102706zbMath0488.93046OpenAlexW2137493839MaRDI QIDQ3950415

Eli Fogel

Publication date: 1981

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

Full work available at URL: https://doi.org/10.1109/tac.1981.1102706

zbMATH Keywords

strong convergenceleast squares algorithmsself-tuning regulator

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

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Infinitesimal perturbation analysis for second derivative estimation and design of manufacturing flow controllers ⋮ On the stability of time-varying models obtained by extended recursive least-squares identification ⋮ Choice of least-squares algorithms for the identification of ARM AX dynamic systems ⋮ Stochastic approximation algorithms: overview and recent trends.

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