Results 21 to 30 of about 698,944 (120)
Stabilization of the GLV System with Asymptotically Unbounded External Disturbances
This paper investigates the stabilization of the generalized Lotka–Volterra (GLV) biological model, which is affected by the asymptotically unbounded external disturbances, and presents some new results.
Zhi Liu, Rongwei Guo
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Development and testing of a soot particle concentration estimator using Lagrangian post-processing
Soot emissions from combustion devices are known to have harmful effects on the environment and human health. As the transportation industry continues to expand, the development of techniques to reduce soot emissions remains a significant goal of ...
Raymond Alexander +3 more
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Linearized Discrete Charge Balance Control with Simplified Algorithm for DCM Buck Converter
In this paper, a linearized discrete charge balance (LDCB) control strategy is proposed for buck converter operating in discontinuous conduction mode (DCM).
Run Min +4 more
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Robust Estimators for the Correlation Measure to Resist Outliers in Data
The objective of this research was to propose a composite correlation coefficient to estimate the rank correlation coefficient of two variables. A simulation study was conducted using 228 situations for a bivariate normal distribution to compare the ...
Juthaphorn Sinsomboonthong
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This article presents a novel concept of the position estimator algorithm for voice coil actuators used in precision scanning applications. Here, a voice coil motor was used as an actuator and a sensor using the position estimator algorithm, which was ...
Mahesh Shewale +3 more
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SDR Verification of Hierarchical Decision Aided 2-Source BPSK H-MAC CSE with Feed-Back Gradient Solver for WPNC Networks [PDF]
This paper considers a channel state estimation (CSE) problem in a parametrized Hierarchical MAC (H-MAC) stage in Wireless Physical Layer Network Coding (WPNC) networks with Hierarchical Decode and Forward (HDF) relay strategy.
P. Hron, J. Lukac, J. Sykora
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A Consistent Estimator of Nontrivial Stationary Solutions of Dynamic Neural Fields
Dynamics of neural fields are tools used in neurosciences to understand the activities generated by large ensembles of neurons. They are also used in networks analysis and neuroinformatics in particular to model a continuum of neural networks.
Eddy Kwessi
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An Artificial Neural Network for the Low-Cost Prediction of Soot Emissions
Soot formation in combustion systems is a growing concern due to its adverse environmental and health effects. It is considered to be a tremendously complicated phenomenon which includes multiphase flow, thermodynamics, heat transfer, chemical kinetics ...
Mehdi Jadidi +3 more
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A Survey on Vision Navigation Methods for UAV Navigation Applications [PDF]
Inertial navigation system error increases due to sensor errors with the increase intime. Usually, to prevent the growth of navigation system error, inertial navigationsystems are integrated with sensors or auxiliary systems. The importantly aided system
Masoud Ebrahimi Kachoie +2 more
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This paper presents the characteristic behavior of direct vector control of two induction motors with sensorless speed feedback having the same rating parameters, paralleled combination, and supplied from a single current-controlled pulse-width-modulated
R. Gunabalan +5 more
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