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Cited by 1,467

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Analysis of recursive stochastic algorithms

Ljung, L.·1977·IEEE Transactions on Automatic Control

Abstract

Recursive algorithms where random observations enter are studied in a fairly general framework. An important feature is that the observations my depend on previous "outputs" of the algorithm. The considered class of algorithms contains, e.g., stochastic approximation algorithm, recursive identification algorithm, and algorithms for adaptive control of linear systems. It is shown how a deterministic differential equation can be associated with the algorithm. Problems like convergence with probability one, possible convergence points and asymptotic behavior of the algorithm can all be studied in terms of this differential equation. Theorems stating the precise relationships between the differential equation and the algorithm are given as well as examples of applications of the results to problems in identification and adaptive control.

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Metadata

Authors
Ljung, L.
Venue
IEEE Transactions on Automatic Control
Published
1977-08
Volume
22
Issue
4
Pages
551-575
ISSN
0018-9286 (ISSN-L)
OpenAlex
W2125812768
Cited by
1,467
References
1
FWCI
60.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Analysis of recursive stochastic algorithms. https://app.cochat.ai/papers/10.1109/tac.1977.1101561
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Ljung, L. (1977). Analysis of recursive stochastic algorithms. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.1977.1101561

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