Abstract
This paper studies the identification of linear systems with quantized output observations. Recursive estimates for the linear system and the quantization thresholds are derived by the stochastic approximation algorithms with expanding truncations (SAAWET). Under suitable conditions, it is shown that the estimates converge to the true values almost surely.
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This research was supported by the National Natural Science Foundation of China under Grant No. 11571186.
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Xiao, J., Song, Q. Recursive Identification of Quantized Linear Systems. J Syst Sci Complex 32, 985–996 (2019). https://doi.org/10.1007/s11424-019-8207-z
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DOI: https://doi.org/10.1007/s11424-019-8207-z