A novel interacting multiple model algorithm

DOI10.1016/J.SIGPRO.2009.04.033zbMath1169.94325OpenAlexW2000161594MaRDI QIDQ839071

Shaohong Li, Hongquan Qu, Li-Ping Pang

Publication date: 1 September 2009

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2009.04.033

zbMATH Keywords

interacting multiple modelmodel set adaptationnovel-IMMvariable structure IMM

Mathematics Subject Classification ID

Application models in control theory (93C95) Detection theory in information and communication theory (94A13)

Related Items (8)

Bayesian estimation for jump Markov linear systems with non-homogeneous transition probabilities ⋮ State estimation for nonlinear discrete-time systems with Markov jumps and nonhomogeneous transition probabilities ⋮ Novel interacting multiple model filter for uncertain target tracking systems based on weighted Kullback-Leibler divergence ⋮ A structured filter for Markovian switching systems ⋮ A novel truncated approximation based algorithm for state estimation of discrete-time Markov jump linear systems ⋮ A novel maneuver detector based on back propagation neural network ⋮ Robust interacting multiple model algorithms based on multi-sensor fusion criteria ⋮ An Interacting Multiple Model Approach for State Estimation with Non-Gaussian Noise Using a Variational Bayesian Method

Cites Work

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• Multiple-model estimation with variable structure. II. Model-set adaptation
• The interacting multiple model algorithm for systems with Markovian switching coefficients
• Multiple-model estimation with variable structure
• General model-set design methods for multiple-model approach

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