Recursive Identification of IIR Systems with Multilevel Output Quantization

Three gradient type recursive algorithms for the identification of Infinite Impulse Response (IIR) systems whose outputs are subject to multilevel quantization are presented in this paper. Proof of consistency of the estimates are provided. The influence of the quantization step on the performance o...

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Bibliographic Details
Published in2018 Argentine Conference on Automatic Control (AADECA) pp. 1 - 6
Main Authors Carlos Gomez, Juan, Brauchli, Guillermo
Format Conference Proceeding
LanguageEnglish
Published Argentine Association of Automatic Control 01.11.2018
Subjects
Convergence
Covariance matrices
Finite impulse response filters
Gradient Type Algorithms
Kalman filters
Quantization (signal)
Quantized Data
Recursive Identification
Transfer functions
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DOI10.23919/AADECA.2018.8577232

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Summary:Three gradient type recursive algorithms for the identification of Infinite Impulse Response (IIR) systems whose outputs are subject to multilevel quantization are presented in this paper. Proof of consistency of the estimates are provided. The influence of the quantization step on the performance of the proposed algorithms, and their capability to track time-varying parameters are analyzed through simulation examples.
DOI:10.23919/AADECA.2018.8577232