Main Nonlinear state and parameter estimation of spatially distributed systems

Nonlinear state and parameter estimation of spatially distributed systems

Name: Nonlinear state and parameter estimation of spatially distributed systems
Rating: 5.0 (4 reviews)
ISBN: 9783866443709

Felix Sawo

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In this book 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.

Request Code : ZLIB.IO17663623

Categories:

Year:

2022

Publisher:

Kit Scientific Publishing

Language:

English

ISBN 10:

3866443706

ISBN 13:

9783866443709