OPTIMAL RECURSIVE IDENTIFICATION TECHNIQUES FROM QUANTIZED OUTPUTS
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Published:2023-07-18
Issue:4
Volume:53
Page:423-428
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ISSN:1851-8796
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Container-title:Latin American Applied Research - An international journal
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language:
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Short-container-title:LAAR
Author:
Juan Carlos Gómez ,Gonzalo Daniel Sad
Abstract
Recursive identification algorithms for the parameter estimation of linear systems from multilevel quantized outputs are introduced in this paper. The proposed algorithms are proved to be optimal in the sense that they minimize the a posteriori parameter estimation error covariance matrix. Numerical simulations are carried out to illustrate their performance for different quantization steps and Signal-to-Noise Ratios, as well as their capability to track time varying parameters.
Publisher
EdiUNS - Editorial de la Universidad Nacional del Sur
Subject
Mechanical Engineering,General Chemical Engineering,General Chemistry