Particle filters are of great concern in a large variety of engineering fields such as robotics,
statistics or automatics. Recently, it has developed among Prognostics and Health …

During the last two decades there has been a growing interest in Particle Filtering (PF).
However, PF suffers from two long-standing problems that are referred to as sample …

Two decades ago, with the publication, we witnessed the rebirth of particle filtering (PF) as a
methodology for sequential signal processing. Since then, PF has become very popular …

We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …

A particle filtering (PF) is a sequential Bayesian filtering method suitable for non-linear non-
Gaussian systems, which is widely used to estimate the states of parameters of interest that …

Bearing is the major contributor to wind turbine gearbox failures. Accurate remaining useful
life prediction for drivetrain gearboxes of wind turbines is of great importance to achieve …

With the rapid development of artificial intelligence technology and its effective application in
industrial system, industrial intelligentization has become an important trend of current …

Resampling is a critical procedure that is of both theoretical and practical significance for
efficient implementation of the particle filter. To gain an insight of the resampling process …

摘要粒子滤波算法逐渐成为科学领域的研究热点. 文章首先阐述了粒子滤波算法的提出背景,
根据犿阶马尔科夫假设, 分析算法基本原理并推导后验概率密度及权值更新公式 …

Adaptive Monte Carlo localization (AMCL) algorithm has a limited pose accuracy because of
the nonconvexity of the laser sensor model, the complex and unstructured features of the …