Conference
A multiple model adaptive SVSF-KF estimation strategy
Abstract
State estimation strategies play a critical role in obtaining accurate information about the state of dynamic systems as they develop. Such information can be important on its own and critical for precise and predictable control of such systems. The Kalman filter (KF) is a classic algorithm and among the most powerful tools in state estimation. The Kalman filter however can be sensitive to modeling uncertainty and sudden changes in system …
Authors
Goodman JM; Wilkerson SA; Eggleton C; Gadsden SA
Volume
11018
Publisher
SPIE, the international society for optics and photonics
Publication Date
May 7, 2019
DOI
10.1117/12.2520018
Name of conference
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII
Conference proceedings
Proceedings of SPIE--the International Society for Optical Engineering
ISSN
0277-786X