STABILITY ANALYSIS AND PERFORMANCE OF KALMAN FILTERING AND ROBUST KALMAN FILTERING ON UNCERTAIN CONTINUOUS-TIME SYSTEMS
This paper discusses the stability analysis of robust Kalman filtering on uncertain continuous-time systems. In real applications, systems often face model uncertainty and noise affecting prediction and estimation accuracy. Therefore, a filtering method is needed to overcome these uncertainties. Rob...
Saved in:
| Main Authors: | Budi Rudianto, Muhafzan Muhafzan, Mahdhivan Syafwan, Syafrizal Sy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2025-04-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15621 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Kalman Filter Performance: Design and Estimation with Fading-Memory Kalman Filter for Reduced Modeling Error and Improved Robustness
by: Jalil Manafian, et al.
Published: (2025-03-01) -
Robust Prediction of Wildfire Spread in Australia
by: Michael Palk, et al.
Published: (2025-01-01) -
Robust Kalman filter for fractional order systems with uncertain colored noise variance
by: Guanran Wang, et al.
Published: (2024-12-01) -
Robust Kalman Filter with Recursive Measurement Noise Covariance Estimation Against Measurement Faults
by: Chingiz Hajiyev
Published: (2025-01-01) -
EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING
by: I. A. Kudryavtseva
Published: (2016-12-01)