Advanced Kalman Filtering Approaches to Bayesian State Estimation.
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Superior document: | Linköping Studies in Science and Technology. Dissertations Series ; v.1832 |
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Place / Publishing House: | Linköping : : Linkopings Universitet,, 2017. {copy}2017. |
Year of Publication: | 2017 |
Edition: | 1st ed. |
Language: | English |
Series: | Linköping Studies in Science and Technology. Dissertations Series
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Online Access: | |
Physical Description: | 1 online resource (86 pages) |
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Table of Contents:
- Intro
- Abstract
- Populärvetenskaplig sammanfattning
- Acknowledgments
- Contents
- 1 Introduction
- 2 Bayesian State Estimation
- 3 State Estimation Algorithms
- 4 Concluding Remarks
- Appendix
- A On Probability Density Functions
- B Exact Bayesian State Estimationfor Scalar Problems
- Bibliography
- Part II Publications.