On Filtering and Smoothing Algorithms for Linear State-Space Models Having Quantized Output Data
Date Issued
2023-03
Author(s) USM
Cedeno, A.L.
DOI
10.3390/math11061327
Abstract
The problem of state estimation of a linear, dynamical state-space system where the output is subject to quantization is challenging and important in different areas of research, such as control systems, communications, and power systems. There are a numb
