Intelligent Particle Filter and Its Application to Fault Detection of Nonlinear System

The particle filter (PF) provides a kind of novel technique for estimating the hidden states of the nonlinear and/or non-Gaussian systems. However, the general PF always suffers from the particle impoverishment problem, which can lead to the misleading state estimation results. To cope with this pro...

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Vydáno v:	IEEE transactions on industrial electronics (1982) Ročník 62; číslo 6; s. 3852 - 3861
Hlavní autoři:	Yin, Shen, zhu, xiangping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Dynamical systems Equations Fault detection genetic algorithm Genetic algorithms Genetics hidden state estimation Industrial electronics intelligent particle filter Mathematical model Non-Gaussian Nonlinear systems Nonlinearity Particle filter Real time real-time fault detection State estimation Strategy Genetic algorithm (GA) particle filter (PF) intelligent particle filter (IPF) hidden state estimation real-time fault detection
ISSN:	0278-0046, 1557-9948
On-line přístup:	Získat plný text
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