Karlsruher Institut Fur Technologie
Nonlinear state and parameter estimation of spatially distributed systems
Product Code:
9783866443709
ISBN13:
9783866443709
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Nonlinear state and parameter estimation of spatially distributed systems
$55.00
$52.00
Sale 5%
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.
| Author: Felix Sawo |
| Publisher: Karlsruher Institut Fur Technologie |
| Publication Date: Oct 16, 2014 |
| Number of Pages: 176 pages |
| Binding: Paperback or Softback |
| ISBN-10: 3866443706 |
| ISBN-13: 9783866443709 |
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