Fuzzy Kalman Filter using Linear Matrix Inequalities
| dc.contributor.author | Hanna Aboukheir | |
| dc.contributor.author | Marco Herrera | |
| dc.contributor.author | Edinzo Iglesias | |
| dc.contributor.author | Óscar Camacho | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T15:30:43Z | |
| dc.date.available | 2026-03-22T15:30:43Z | |
| dc.date.issued | 2021 | |
| dc.description | Citaciones: 2 | |
| dc.description.abstract | The Kalman filter has been extensively used in different applications due to its strengths in estimating the system states under noisy observations. In this paper, a modification of the classical Kalman filter for nonlinear state estimation is presented; firstly, a polytopic set of linear discrete-time models based on a Takagi-Sugeno inference system is used to describe the nonlinear operating region. The stabilizing gains of the linear filters are calculated using Linear Matrix Inequalities (LMI), the proposal is evaluated through simulations. | |
| dc.identifier.doi | 10.1109/chilecon54041.2021.9703045 | |
| dc.identifier.uri | https://doi.org/10.1109/chilecon54041.2021.9703045 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/52794 | |
| dc.language.iso | en | |
| dc.relation.ispartof | 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) | |
| dc.source | National Archives of Ecuador | |
| dc.subject | Kalman filter | |
| dc.subject | Control theory (sociology) | |
| dc.subject | Alpha beta filter | |
| dc.subject | Invariant extended Kalman filter | |
| dc.subject | Linear matrix inequality | |
| dc.subject | Fast Kalman filter | |
| dc.subject | Ensemble Kalman filter | |
| dc.subject | Nonlinear system | |
| dc.subject | Mathematics | |
| dc.subject | Filter (signal processing) | |
| dc.title | Fuzzy Kalman Filter using Linear Matrix Inequalities | |
| dc.type | article |