Nonlinear state and parameter estimation of spatially distributed systems

• Главный автор: Sawo, Felix (auth)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: KIT Scientific Publishing 2009
• Серии: Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory
• Предметы: sensor network; nonlinear estimation; distributed-parameter system
• Online-ссылка: 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...