Uncertain noise statistics in interacting multiple model target tracking algorithm

Download
2000
Karcı, M. Haydar

Suggestions

Uncertainty Parametrization on Inverted Pendulum with Model Reference Adaptive Control
Sarsılmaz, Selahattin Burak; Yayla, Metehan; Kutay, Ali Türker (null; 2015-09-20)
n this study, we present simulation and experimental results of Model Reference Adaptive Controller (MRAC) on inverted pendulum. Adaptive element is constructed by considering either structured or unstructured uncertainty on the system. For structured case, bias term and states are included in regressor function whereas the unstructured uncertainty is approximated by two orthogonal basis functions, which are Chebyshev polynomials and Fourier series. The use of orthogonal basis functions improves the perform...
Uncertainty models for vector based functional curves and assessing the reliability of G-Band
Kurtar, Ahmet Kürşat; Düzgün, H. Şebnem; Department of Geodetic and Geographical Information Technologies (2006)
This study is about uncertainty medelling for vector features in geographic information systems (GIS). It has mainly two objectives which are about the band models used for uncertainty modelling . The first one is the assessment of accuracy of GBand model, which is the latest and the most complex uncertainty handling model for vector features. Some simulations and tests are applied to test the reliability of accuracy of G-Band with comparing Chrisman’s epsilon band model, which is the most frequently used b...
Uncertainty Quantification and Implementation of Local Volatility Surfaces in Bayesian Framework
Animoku, Abdulwahab; Uğur, Ömür; Yolcu Okur, Yeliz (null; 2015-05-16)
Uncertainty analysis methods for the measurements of coordinate measuring machines
Sözak, Ahmet; Konukseven, Erhan İlhan; Dölen, Melik (null; 2010-07-02)
Uncertainty quantification of transient unsaturated seepage through embankment dams
Çalamak, Melih; Yanmaz, Ali Melih (American Society of Civil Engineers (ASCE), 2017-06-01)
Sensitivity analysis is conducted to investigate the effects of uncertainty in hydraulic conductivity and van Genuchten parameters on transient seepage. To this end, a random number generator is used to generate random values from probability distributions of each parameter. The generator is coupled with finite-element software that handles seepage analysis in porous media. The Monte Carlo simulation approach is adopted for stochastic seepage analyses. The suggested method is applied on a homogeneous dam ma...
Citation Formats
M. H. Karcı, “Uncertain noise statistics in interacting multiple model target tracking algorithm,” Middle East Technical University, 2000.