Maximum Likelihood Estimation for an SAG Mill Model Utilizing Physical Available Measurements
Date Issued
2024
Author(s) USM
Cedeno, A.L.
DOI
10.1109/ACCESS.2024.3393768
Abstract
In this paper, we have proposed a new paradigm for modeling of SAG mills. Typically, important parameters found in the modeling of such processes are described as state-space system model rather than unknown parameters. Here, we propose to estimate the sy
