Abstract
The state estimation methods for nonlinear systems with censored measurements are proposed. Firstly, the Tobit-II type censored measurements equation are constructed for nonlinear system. Secondly, lattice sampling is employed to predict the latent measurement. Subsequently, the Square Root Lattice Tobit Kalman Filter (RLTKF) is derived using the square root covariance matrix obtain via QR decomposition. Finally, the algorithms are validated through the Unmanned Aerial Vehicle (UAV) cruising motion scenario, demonstrating high estimation accuracy and better robustness.
| Original language | English |
|---|---|
| Pages (from-to) | 1771-1775 |
| Number of pages | 5 |
| Journal | Youth Academic Annual Conference of Chinese Association of Automation, YAC |
| Issue number | 2025 |
| DOIs | |
| Publication status | Published - 2025 |
| Externally published | Yes |
| Event | 40th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2025 - Zhengzhou, China Duration: 17 May 2025 → 19 May 2025 |
Keywords
- censored measurements
- model parameter uncertainties
- nonlinear system
- Tobit-II censoring model
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