Advanced kalman filtering, least-squares and modeling : a practical handbook /
This book is intended primarily as a handbook for engineers who must design practical systems. Its primarygoal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is so...
Κύριος συγγραφέας: | |
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Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Hoboken, N.J. :
Wiley,
[2011]
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- System Dynamics and Models
- Modeling Examples
- Linear Least-Squares Estimation: Fundamentals
- Linear Least-Squares Estimation: Solution Techniques
- Least-Squares Estimation: Model Errors and Model Order
- Least-Squares Estimation: Constraints, Nonlinear Models, and Robust Techniques
- Kalman Filtering
- Filtering for Nonlinear Systems, Smoothing, Error Analysis/Model Design, and Measurement Preprocessing
- Factored (Square-Root) Filtering
- Advanced Filtering Topics
- Empirical Modeling
- Appendix A: Summary of Vector/Matrix Operations
- Appendix B: Probability and Random Variables.