Convergence of partitioned adaptive filters for systems with unknown biases

S Dasgupta; L. C Westphal

doi:10.1109/TAC.1983.1103290

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Convergence of partitioned adaptive filters for systems with unknown biases

Journal article

Peer reviewed

Convergence of partitioned adaptive filters for systems with unknown biases

S Dasgupta and L. C Westphal

IEEE transactions on automatic control, Vol.28(5), pp.614-615

05/1983

DOI: 10.1109/TAC.1983.1103290

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Abstract

A convergence theorem on performance bounds for partitioned adaptive estimation is extended to include biases among the unknown parameters. The importance and implications of this rarely considered case are briefly discussed.

Australia

Concurrent computing

Matched filters

Programmable control

Search methods

Adaptive filters

Adaptive estimation

Adaptive control

State estimation

Convergence

Details

Title: Subtitle: Convergence of partitioned adaptive filters for systems with unknown biases
Creators: S Dasgupta - Austrailian National University, Canberra, Austrailia
L. C Westphal
Resource Type: Journal article
Publication Details: IEEE transactions on automatic control, Vol.28(5), pp.614-615
Publisher: IEEE
DOI: 10.1109/TAC.1983.1103290
ISSN: 0018-9286
eISSN: 1558-2523
Language: English
Date published: 05/1983
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083203702771

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