98 search results - page 2 / 20 » Estimation of Distributed Hybrid Systems Using Particle Filt... |
HYBRID
2007
Springer
13 years 10 months ago
2007
Springer
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
TIP
2010
12 years 11 months ago
2010
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper an efficient method of small object localization is proposed that integrates detection and tracking. The system is initialized using a strong detector and then it lo...
TSP
2008
13 years 2 months ago
2008
The basic nonlinear filtering problem for dynamical systems is considered. Approximating the optimal filter estimate by particle filter methods has become perhaps the most common a...
ATAL
2005
Springer
13 years 10 months ago
2005
Springer
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...