Unscented Recursive Filtering for Inequality Constrained Systems
For nonlinear systems with state inequality constraints, the existing unscented recursive filtering methods utilize the constraint information in the sampling and update steps, rather than the prediction step. In practice, the constraints are known a priori and they are always satisfied by any true...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8632696/ |