TY  - CHAP
AU  - Mauro Hernán Riva
AU  - Mark Wielitzka
AU  - Tobias Ortmaier
ED  - Ginalber Luiz de Oliveira Serra
Y1  - 2017-12-20
PY  - 2017
T1  - Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems
N2  - 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.
BT  - Kalman Filters
SP  - Ch. 4
UR  - https://doi.org/10.5772/intechopen.72470
DO  - 10.5772/intechopen.72470
SN  - 978-953-51-3828-0
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-25
ER  -