Results 71 to 80 of about 484,208 (213)

Comparison between two state estimation techniqueds for linear systems [PDF]

open access: yes, 2007
20th World Congress of the International Federation of Automatic Control, Jul 2017, Toulouse, FranceThis paper presents a comparison in terms of accuracy and complexity between two approaches used for state estimation of linear systems: a classic Kalman
Alamo, Teodoro   +4 more
core  

Methods of estimating competence as a system of fuzzy statements [PDF]

open access: yes, 2017
The work is based on estimation of competence as a fuzzy event, the reliability of which is determined by the membership function; the method of competence evaluation based on fuzzy statements is proposed, which creates a system of compositional rules
Bodnenko, Dmitry   +2 more
core  

Social capital and immigrants' labour market performance [PDF]

open access: yes, 2016
This paper analyses the role of social capital on immigrants’ labour market outcomes. We use the “principal component analysis” (PCA) to build an index of social networks and explore its impact on the probability of getting a job and on wage levels ...
Piracha, Matloob   +2 more
core   +1 more source

About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm

open access: yesSensors, 2013
Reliable GPS positioning in city environment is a key issue: actually, signals are prone to multipath, with poor satellite geometry in many streets.
François Peyret   +6 more
doaj   +1 more source

An Intelligent Spatial Proximity System Using Neurofuzzy Classifiers and Contextual Information [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
In this paper, we propose a novel approach to reason with spatial proximity. The approach is based on contextual information and uses a neurofuzzy classifier to handle the uncertainty aspect of proximity.
F. Barouni, B. Moulin
doaj   +1 more source

Improved set-membership estimation approach based on zonotopes and ellipsoids [PDF]

open access: yes2014 European Control Conference (ECC), 2014
This paper presents an improved approach for guaranteed state estimation combining set-membership estimation techniques based on zonotopes and ellipsoids, applied on linear discrete-time systems with unknown but bounded perturbations and noises. The proposed approach starts with a zonotopic approximation and continues with an ellipsoidal approximation;
Ben Chabane, Sofiane   +4 more
openaire   +2 more sources

Non‐fragile set‐membership estimation for sensor‐saturated memristive neural networks via weighted try‐once‐discard protocol

open access: yes, 2020
This study is concerned with the non-fragile set-membership estimation problem for a class of delayed sensor-saturated memristive neural networks under the premise of communication protocol transmissions.
Jun Hu   +4 more
semanticscholar   +1 more source

Adaptive fault‐tolerant control for aircraft against control surface failure diagnosed by set‐membership estimation

open access: yes
This paper focuses on the fault diagnosis method and the fault‐tolerant control method of the aircraft with control surface damage. The fault diagnosis method is based on the set‐membership estimation.
Kai Liu, S. An, Wentao Tang, Linfei Hou
semanticscholar   +1 more source

Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded Disturbances

open access: yesDiscrete Dynamics in Nature and Society, 2016
This paper develops an extended ellipsoidal outer-bounding set-membership estimation (EEOB-SME) algorithm with high accuracy and efficiency for nonlinear discrete-time systems under unknown-but-bounded (UBB) disturbances.
Yushuang Liu, Yan Zhao, Falin Wu
doaj   +1 more source

Set-membership nonlinear regression approach to parameter estimation

open access: yesJournal of Process Control, 2018
Abstract This paper introduces set-membership nonlinear regression (SMR), a new approach to nonlinear regression under uncertainty. The problem is to determine the subregion in parameter space enclosing all (global) solutions to a nonlinear regression problem in the presence of bounded uncertainty on the observed variables.
Peric, N   +3 more
openaire   +3 more sources

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