| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 718121 | IFAC Proceedings Volumes | 2010 | 5 Pages |
Abstract
Conductivity based sensors can be applied to monitor a wide range of processes in the mineral processing industry. This work compares the use of an Extended Kalman Filter and a Nonlinear Observer for tracking conductivity variations under dynamical conditions. Several simulations illustrate the main features and differences among these two methods.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
