Robust Kalman and Bayesian Set-Valued Filtering and Model Validation for Linear Stochastic Systems
Author:
Affiliation:
1. CSIRO, Canberra, Australia, and University of Technology Sydney (UTS), Sydney, Australia.
2. INRIA, Bordeaux Research Center, Talence, France.
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference61 articles.
1. Detectability and Stabilizability of Time-Varying Discrete-Time Linear Systems
2. Estimation with Applications to Tracking and Navigation
3. Density-ratio robustness in dynamic state estimation
4. Robust Filtering Through Coherent Lower Previsions
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1. Kalman Filtering for Discrete-Time Switched System with Uncertainties;2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR);2023-12-08
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