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Chapter 1 - System Models and Random Variables 3
Chapter 2 - Multiple Random Sequences
Chapter 3 - Conditional Probability, Bayes' Rule and Bayesian Estimation 45
Part II Where Does Kalman Filtering Apply and What Does It Intend to Do?
Chapter 4 - A Simple Scenario Where Kalman
Chapter 5 - General Scenario Addressed by Kalman Filtering and Specific Cases 61
Chapter 6 - Arriving at the Kalman Filter Algorithm 75
Chapter 7 - Reflecting on the Meaning and Evolution of the Entities in the Kalman Filter Algorithm 87
Part III Examples in MATLAB®
Chapter 8 - MATLAB® Function to Implement and Exemplify the Kalman Filter 103
Chapter 9 - Univariate Example of Kalman Filter in MATLAB® 113
Chapter 10 - Multivariate Example of Kalman Filter in MATLAB® 131
Part IV Kalman Filtering Application to IMUs
Chapter 11 - Kalman Filtering Applied to 2-Axis Attitude Estimation from Real IMU Signals 153
Chapter 12 - Real-Time Kalman Filtering Application to Attitude Estimation from IMU Signals 179
APPENDIX A LISTINGS OF THE FILES FOR REAL-TIME IMPLEMENTATION OF THE KALMAN
FILTER FOR ATTITUDE ESTIMATION WITH ROTATIONS IN 2 AXES, 197
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | EDV |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Taschenbuch |
ISBN-13: | 9780367191337 |
ISBN-10: | 0367191334 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Barreto, Armando
Adjouadi, Malek Ortega, Francisco |
Hersteller: | CRC Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 234 x 156 x 14 mm |
Von/Mit: | Armando Barreto (u. a.) |
Erscheinungsdatum: | 07.09.2020 |
Gewicht: | 0,383 kg |
Chapter 1 - System Models and Random Variables 3
Chapter 2 - Multiple Random Sequences
Chapter 3 - Conditional Probability, Bayes' Rule and Bayesian Estimation 45
Part II Where Does Kalman Filtering Apply and What Does It Intend to Do?
Chapter 4 - A Simple Scenario Where Kalman
Chapter 5 - General Scenario Addressed by Kalman Filtering and Specific Cases 61
Chapter 6 - Arriving at the Kalman Filter Algorithm 75
Chapter 7 - Reflecting on the Meaning and Evolution of the Entities in the Kalman Filter Algorithm 87
Part III Examples in MATLAB®
Chapter 8 - MATLAB® Function to Implement and Exemplify the Kalman Filter 103
Chapter 9 - Univariate Example of Kalman Filter in MATLAB® 113
Chapter 10 - Multivariate Example of Kalman Filter in MATLAB® 131
Part IV Kalman Filtering Application to IMUs
Chapter 11 - Kalman Filtering Applied to 2-Axis Attitude Estimation from Real IMU Signals 153
Chapter 12 - Real-Time Kalman Filtering Application to Attitude Estimation from IMU Signals 179
APPENDIX A LISTINGS OF THE FILES FOR REAL-TIME IMPLEMENTATION OF THE KALMAN
FILTER FOR ATTITUDE ESTIMATION WITH ROTATIONS IN 2 AXES, 197
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | EDV |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Taschenbuch |
ISBN-13: | 9780367191337 |
ISBN-10: | 0367191334 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Barreto, Armando
Adjouadi, Malek Ortega, Francisco |
Hersteller: | CRC Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 234 x 156 x 14 mm |
Von/Mit: | Armando Barreto (u. a.) |
Erscheinungsdatum: | 07.09.2020 |
Gewicht: | 0,383 kg |