Nonlinear state and parameter estimation of spatially distributed systems
In this thesis two probabilistic model-based estimators are introduced that allow the reconstruction and identification of space-time continuous physical systems. The Sliced Gaussian Mixture Filter (SGMF) exploits linear substructures in mixed linear/nonlinear systems, and thus is well-suited for id...
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| Glavni avtor: | |
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| Format: | Online |
| Jezik: | angleščina |
| Izdano: |
KIT Scientific Publishing
2021
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| Teme: | |
| Online dostop: | 34479 |
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