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An Interacting Multiple Model Approach for State Estimation with Non-Gaussian Noise Using a Variational Bayesian Method

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Publication:2813988
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DOI10.1002/asjc.1055zbMath1338.93360OpenAlexW1951045788MaRDI QIDQ2813988

Feng Shen, Chen Shen, Wei Huang, Dingjie Xu

Publication date: 17 June 2016

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1055

zbMATH Keywords

robustnessstate estimationvariational Bayesianmultiple models


Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Estimation and detection in stochastic control theory (93E10)


Related Items

Sequential fusion estimation for Markov jump systems with heavy-tailed noises



Cites Work

  • A novel interacting multiple model algorithm
  • Online Model Selection Based on the Variational Bayes
  • The interacting multiple model algorithm for systems with Markovian switching coefficients
  • Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
  • Approaches to adaptive filtering
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