A set-membership state estimation algorithm based on DC programming [PDF]
, 2008 This paper presents a new approach to guaranteed state estimation for nonlinear discrete-time systems with a bounded description of noise and parameters.
Alamo, Teodoro +3 more
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The power of symmetric extensions for entanglement detection
, 2009 In this paper, we present new progress on the study of the symmetric extension criterion for separability. First, we show that a perturbation of order O(1/N) is sufficient and, in general, necessary to destroy the entanglement of any state admitting an N
A. Ambainis +13 more
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A Discrete Model for Color Naming
EURASIP Journal on Advances in Signal Processing, 2007 The ability to associate labels to colors is very natural for human beings. Though, this apparently simple task hides very complex and still unsolved problems, spreading over many different disciplines ranging from neurophysiology to psychology and ...
J. M. Boi +3 more
doaj +2 more sources
Adaptive dual model predictive control for linear systems with parametric uncertainties
IET Control Theory & Applications, 2022 Adaptive dual model predictive control (DMPC) for linear systems with constant parametric uncertainties is investigated in this paper. In particular, chance constraints on output and input are considered.
Mengting Lin +3 more
doaj +1 more source
Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas [PDF]
, 2013 <br>This paper presents a finite mixture of multivariate betas as a new model-based clustering method tailored to applications where the feature space is constrained to the unit hypercube.
Dean, Nema, Nugent, Rebecca
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Ellipsoidal set-membership state estimation for descriptor systems [PDF]
2019 23rd International Conference on System Theory, Control and Computing (ICSTCC), 2019 This paper presents an ellipsoidal set-membership state estimation technique for discrete-time linear time-invariant descriptor systems with bounded perturbations and noises. The approach proceeds off-line by minimizing a parameter with respect to a linear matrix inequality (LMI).
Merhy, Dory +3 more
openaire +1 more source
Comparison between two state estimation techniqueds for linear systems [PDF]
, 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
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About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm
Sensors, 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]
The 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
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Methods of estimating competence as a system of fuzzy statements [PDF]
, 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
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