Results 61 to 70 of about 263,212 (196)
IEEE Access, 2019 This paper investigates the robust output feedback model predictive control (ROFMPC) for the discrete-time linear system with norm-bound uncertainty and disturbance.
Jiandong Yang, Yuanli Cai, Baocang Ding
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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
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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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Entropy, 2017 In this paper, a sparse set-membership proportionate normalized least mean square (SM-PNLMS) algorithm integrated with a correntropy induced metric (CIM) penalty is proposed for acoustic channel estimation and echo cancellation.
Zhan Jin, Yingsong Li, Yanyan Wang
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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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Improved set-membership estimation approach based on zonotopes and ellipsoids [PDF]
2014 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
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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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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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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