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Title: Recursive estimation as an optimally controlled process (English)
Author: Markl, Jaroslav
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 21
Issue: 4
Year: 1985
Pages: 272-286
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Category: math
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MSC: 62L12
MSC: 62L20
MSC: 93C05
MSC: 93E10
MSC: 93E20
MSC: 93E25
idZBL: Zbl 0583.93057
idMR: MR815615
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Date available: 2009-09-24T17:48:20Z
Last updated: 2012-06-05
Stable URL: http://hdl.handle.net/10338.dmlcz/125454
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Reference: [1] B. T. Polyak: Convergence and rate of convergence of iterative stochastic algorithms. Part I: General case.(in Russian). Avtomatika i telemechanika (1976), 12, 83 - 94. MR 0462747
Reference: [2] B. T. Polyak: Convergence and rate of convergence of iterative stochastic algorithms. Part II: The linear case.(in Russian). Avtomatika i telemechanika (1977), 4, 101- 107.
Reference: [3] B. T. Polyak, Ya. Z. Tsypkin: Adaptive estimation algorithms: Convergence, optimality, stability.(in Russian). Avtomatika i telemechanika (1979), 3, 71 - 84. Zbl 0418.93077, MR 0544876
Reference: [4] B. T. Polyak, Ya. Z. Tsypkin: Optimal pseudogradient adaptation algorithms.(in Russian). Avtomatika i telemechanika (1980), 8, 74-84. Zbl 0462.49036, MR 0627382
Reference: [5] J. Markl: On-line identification as an optimal controlled process.(in Czech). Automatizace 24 (1981), 10, 252-256.
Reference: [6] J. Markl: A simple recursive estimator with on-line orthogonalization of the input sequence.Kybernetika 19 (1983), 4, 345-356. Zbl 0522.93024, MR 0723083
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