| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6865866 | Neurocomputing | 2015 | 6 Pages |
Abstract
This paper considers the Kalman-type filter for a class of interval fractional-order systems with finite-step auto-correlated process noises. We propose a modified fuzzy Kalman-type filtering for such dynamic system. Fuzzy logic inference approach is used to handle interval characteristic of the system. Simulation example is given in order to demonstrate the effectiveness of the proposed algorithm.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shabnam Pourdehi, Ali Azami, Faridoon Shabaninia,