A Gaussian mixture filter with adaptive refinement for nonlinear state estimation
Signal Processing(2022)
摘要
•A feedforward neural network is used to approximate the state equation for better tractability of system dynamics.•Adaptive refinement of Gaussian mixtures in both prior and posterior state PDFs via assessment of nonlinearity.•The convergence rates of nonlinearity measures and the bound of state PDF estimation errors are both quantified.
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关键词
Bayesian filtering,Nonlinear system,Gaussian mixture model,Neural network,State estimation
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