A Particle Swarm Optimized Particle Filter for Nonlinear System State Estimation

To resolve the problems of particle impoverishment and sample size dependency, particle swarm optimization (PSO) is introduced into generic particle filter (PF). This novel method, particle swarm optimized particle filter (PSOPF), incorporates the newest observations into sampling process and also o...

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Bibliographische Detailangaben

Hauptverfasser:	Guofeng Tong, Zheng Fang, Xinhe Xu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Computational efficiency Monte Carlo methods Nonlinear systems Particle filters Particle swarm optimization Probability distribution Proposals Sampling methods State estimation
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