Open access peer-reviewed Edited volume

Kalman Filters

Theory for Advanced Applications

Edited by Ginalber Luiz Serra

Instituo Federal de Educação, Ciência e Tecnologia do Maranhão, Brazil

This book presents recent issues on theory and practice of Kalman filters, with a comprehensive treatment of a selected number of concepts, techniques, and advanced applications. From an interdisciplinary point of view, the contents from each chapter bring together an international scientific community to discuss the state of the art on Kalman filter-based methodologies for adaptive/distributed filtering, optimal estimation, dynamic prediction, nonstationarity, robot navigation, global navigation satellite systems, moving object tracking, optical communication systems, and active power filters, among others. The theoretical and methodological foundations combined with extensive experimental explanation make this book a reference suitable for students, practicing engineers, and researchers in sciences and engineering.

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IntechOpen
Kalman FiltersTheory for Advanced ApplicationsEdited by Ginalber Luiz Serra

Published: February 21st 2018

DOI: 10.5772/intechopen.68249

ISBN: 978-953-51-3828-0

Print ISBN: 978-953-51-3827-3

Books open for chapter submissions

2225 Total Chapter Downloads

1 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. A Reference Recursive Recipe for Tuning the Statistics of the Kalman Filter

By Mudambi R Ananthasayanam

187

Open access peer-reviewed

2. The Error Covariance Matrix Inflation in Ensemble Kalman Filter

By Guocan Wu and Xiaogu Zheng

150

Open access peer-reviewed

3. Unscented Kalman Filter for State and Parameter Estimation in Vehicle Dynamics

By Mark Wielitzka, Alexander Busch, Matthias Dagen and Tobias Ortmaier

186

Open access peer-reviewed

4. Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems

By Mauro Hernán Riva, Mark Wielitzka and Tobias Ortmaier

163

Open access peer-reviewed

5. Kalman Filters for Parameter Estimation of Nonstationary Signals

By Sarita Nanda

169

Open access peer-reviewed

6. Kalman Filter Models for the Prediction of Individualised Thermal Work Strain

By Jia Guo, Ying Chen, Weiping Priscilla Fan, Si Hui Maureen Lee, Junxian Ong, Poh Ling Tan, Yu Li Lydia Law, Kai Wei Jason Lee and Kok-Yong Seng

137

Open access peer-reviewed

7. Application of Kalman Filtering in Dynamic Prediction for Corporate Financial Distress

By Qian Zhuang

165

Open access peer-reviewed

8. Predicting Collisions in Mobile Robot Navigation by Kalman Filter

By Angel Sánchez, Homero Ríos, Gustavo Quintana and Antonio Marín

141

Open access peer-reviewed

9. Efficient Matrix-Free Ensemble Kalman Filter Implementations: Accounting for Localization

By Elias David Niño Ruiz, Rolando Beltrán Arrieta and Alfonso Manuel Mancilla Herrera

137

Open access peer-reviewed

10. Kalman Filters for Reference Current Generation in Shunt Active Power Filter (APF)

By Ahmad Shukri Bin Abu Hasim, Syed Mohd Fairuz Bin Syed Mohd Dardin and Zulkifilie Bin Ibrahim

153

Open access peer-reviewed

11. Applications of Kalman Filters for Coherent Optical Communication Systems

By Lalitha Pakala and Bernhard Schmauss

166

Open access peer-reviewed

12. Kalman Filter for Moving Object Tracking: Performance Analysis and Filter Design

By Kenshi Saho

166

Open access peer-reviewed

13. Distributed Kalman Filter

By Felix Govaers

154

Open access peer-reviewed

14. Consensus-Based Distributed Filtering for GNSS

By Amir Khodabandeh, Peter J.G. Teunissen and Safoora Zaminpardaz

151

Edited volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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