Standard implementation of multiple-model (MM) estimation algorithms may suffer from numerical problems, especially numerical underflows, which occur when the true model is vastly different from one or more models used in the algorithm. This may be devastating to the performance of the MM algorithm. Numerical robust implementations of some of the most popular MM algorithms are presented. Simulation results are provided to verify the proposed implementation and to compare with the implementations with a lower bound.
Numerically robust implementation of multiple-model algorithms
IEEE Transactions on Aerospace and Electronic Systems ; 36 , 1 ; 266-278
2000-01-01
444589 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
CORRESPONDENCE - Numerically Robust Implementation of Multiple-Model Algorithms
Online Contents | 2000
|Robust numerically stable Kalman filter for autonomous vehicles
Europäisches Patentamt | 2023
|Some implementation considerations for numerically stable flight filters
Tema Archiv | 1979
|Robust and Numerically Efficient Estimation of Vehicle Mass and Road Grade
Springer Verlag | 2017
|A numerically reliable approach to robust pole assignment for descriptor systems
Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2003
|