Results 61 to 70 of about 484,208 (213)

An Enhanced Set-Membership PNLMS Algorithm with a Correntropy Induced Metric Constraint for Acoustic Channel Estimation

open access: yesEntropy, 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
doaj   +1 more source

Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System. [PDF]

open access: yesPLoS ONE, 2016
Travel time is an important measurement used to evaluate the extent of congestion within road networks. This paper presents a new method to estimate the travel time based on an evolving fuzzy neural inference system. The input variables in the system are
Jinjun Tang   +5 more
doaj   +1 more source

The power of symmetric extensions for entanglement detection

open access: yes, 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
core   +1 more source

An adaptive neuro-fuzzy propagation model for LoRaWAN [PDF]

open access: yes, 2019
This article proposes an adaptive-network-based fuzzy inference system (ANFIS) model for accurate estimation of signal propagation using LoRaWAN. By using ANFIS, the basic knowledge of propagation is embedded into the proposed model.
Curtis, Krystyna   +3 more
core   +1 more source

Robust Output Feedback Model Predictive Control for Systems With Norm-Bounded Uncertainty: An LMI Approach

open access: yesIEEE 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
doaj   +1 more source

CardioLabelNet: An uncertainty estimation using fuzzy for abnormalities detection in ECG

open access: yesHealth Care Science, 2023
Electrocardiography (ECG) abnormalities are evaluated through several automatic detection methods. Primarily, real‐world ECG data are digital signals those are stored in the form of images in hospitals.
Jyoti Mishra, Mahendra Tiwari
doaj   +1 more source

A Discrete Model for Color Naming

open access: yesEURASIP 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

open access: yesIET 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

A bounded-error approach to simultaneous state and actuator fault estimation for a class of nonlinear systems [PDF]

open access: yes, 2017
This paper proposes an approach for the joint state and fault estimation for a class of uncertain nonlinear systems with simultaneous unknown input and actuator faults.
Buciakowski, Mariusz   +5 more
core   +2 more sources

Ellipsoidal set-membership state estimation for descriptor systems [PDF]

open access: yes2019 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

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