1 option
Deterministic Sampling for Nonlinear Dynamic State Estimation
- Format:
- Book
- Author/Creator:
- Gilitschenski, Igor
- Series:
- Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
- Language:
- English
- Physical Description:
- 1 online resource (XVI, 167 p. p.)
- Place of Publication:
- KIT Scientific Publishing 2016
- Language Note:
- English
- Summary:
- The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear dynamic state estimation. Nonlinearity is considered in two ways: First, propagation is improved by proposing novel methods for approximating continuous probability distributions by discrete distributions defined on the same continuous domain. Second, nonlinear underlying domains are considered by proposing novel filters that inherently take the underlying geometry of these domains into account.
- ISBN:
- 1000051670
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.