Result: Online state estimation for discrete nonlinear dynamic systems with nonlinear noise and interference

Title:
Online state estimation for discrete nonlinear dynamic systems with nonlinear noise and interference
Authors:
Demirbaş, Kerim
Contributors:
OpenMETU
Source:
Journal of the Franklin Institute. 352:216-235
Publisher Information:
Elsevier BV, 2015.
Publication Year:
2015
Subject Terms:
Sampled-data control/observation systems, Delay, sampling importance resampling (SIR) particle filter, 0209 industrial biotechnology, Estimation and detection in stochastic control theory, discrete nonlinear dynamic systems, Bayesian state, Tracking, 4. Education, multiple composite hypothesis testing, Stochastic-systems, 02 engineering and technology, Filtering in stochastic control theory, discrete noise approximation, state quantization, Non-gaussian noise, Algorithm, Discrete-time control/observation systems, auxiliary sampling importance resampling (ASIR) particle filter, online state estimation, 0202 electrical engineering, electronic engineering, information engineering, Prediction scheme, Nonlinear systems in control theory, Kalman filter, recursive state filtering and prediction scheme (PR)
Document Type:
Academic journal Article
File Description:
application/xml
Language:
English
ISSN:
0016-0032
DOI:
10.1016/j.jfranklin.2014.10.017
Access URL:
https://www.sciencedirect.com/science/article/abs/pii/S001600321400297X
https://dblp.uni-trier.de/db/journals/jfi/jfi352.html#Demirbas15
https://avesis.metu.edu.tr/yayin/4f022ba1-c7cc-43df-8f86-b1f0e413e7cc/online-state-estimation-for-discrete-nonlinear-dynamic-systems-with-nonlinear-noise-and-interference
https://doi.org/10.1016/j.jfranklin.2014.10.017
https://hdl.handle.net/11511/52491
Rights:
Elsevier TDM
CC BY NC ND
Accession Number:
edsair.doi.dedup.....2bc4d2cfe37b3bfa334ec37343d1ad5d
Database:
OpenAIRE

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