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- Author: Felix Sawo
- Publisher: Karlsruher Institut für Technologie
- ISBN-10: 3866443706
- ISBN-13: 9783866443709
- Format: 14.8 x 21 x 1 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Nonlinear state and parameter estimation of spatially distributed systems (e-book) (used book) | bookbook.eu
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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 identifying various model parameters. The Covariance Bounds Filter (CBF) allows the efficient estimation of widely distributed systems in a decentralized fashion.
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- Author: Felix Sawo
- Publisher: Karlsruher Institut für Technologie
- ISBN-10: 3866443706
- ISBN-13: 9783866443709
- Format: 14.8 x 21 x 1 cm, minkšti viršeliai
- Language: English English
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 identifying various model parameters. The Covariance Bounds Filter (CBF) allows the efficient estimation of widely distributed systems in a decentralized fashion.
Reviews