Nonlinear state and parameter estimation of spatially distributed systems

• Päätekijä: Sawo, Felix (auth)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: KIT Scientific Publishing 2009
• Sarja: Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory
• Aiheet: sensor network; nonlinear estimation; distributed-parameter system
• Linkit: DOAB: download the publication; DOAB: description of the publication

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...