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• W2027283427 abstract "Particle filters can estimate the states of nonlinear and non-Gaussian systems without any approximation when the number of particles tends to infinity. However, the method is not popular in industry because the implementation details are missing in the literature. In this paper we discuss several implementation issues and propose novel techniques for tuning the particle filter and dealing with multi-rate data. The performance of the proposed methodologies are demonstrated using a simulated non-linear CSTR and an experimental four tank system." @default.
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• W2027283427 date "2006-01-01" @default.
• W2027283427 modified "2023-09-26" @default.
• W2027283427 title "Estimation of States of Nonlinear Systems using a Particle Filter" @default.
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• W2027283427 doi "https://doi.org/10.1109/icit.2006.372687" @default.
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