Identification of IIR systems with binary-valued outputs and lossy memoryless channels with uncertainties

Gradient type algorithms for the recursive identification of Infinite Impulse Response (IIR) systems represented by orthonormal bases whose outputs are subject to binary-valued quantization and observed after transmission through lossy memoryless channels with uncertainties, are presented in this pa...

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Bibliographic Details
Published inMediterranean Conference on Control & Automation pp. 17 - 22
Main Author Gomez, Juan Carlos
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2017
Subjects
Communication channels
Convergence
Finite impulse response filters
Memoryless systems
Prediction algorithms
Propagation losses
Uncertainty
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ISSN2473-3504
DOI10.1109/MED.2017.7984089

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Summary:Gradient type algorithms for the recursive identification of Infinite Impulse Response (IIR) systems represented by orthonormal bases whose outputs are subject to binary-valued quantization and observed after transmission through lossy memoryless channels with uncertainties, are presented in this paper. The consistency of the estimates as well as the convergence of the algorithms are analyzed. The performance of the proposed algorithms is illustrated through simulation examples.
ISSN:2473-3504
DOI:10.1109/MED.2017.7984089