Results 31 to 40 of about 558,604 (276)
Machines, 2023 This work investigates the issue of a hybrid trajectory tracking control algorithm (HTCA) for robot manipulators (RMs) with uncertain dynamics and the effect of external disturbances. Following are some proposals for achieving the control target. Firstly,
Anh Tuan Vo +3 more
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Decentralised Learning MACs for Collision-free Access in WLANs [PDF]
, 2011 By combining the features of CSMA and TDMA, fully decentralised WLAN MAC schemes have recently been proposed that converge to collision-free schedules. In this paper we describe a MAC with optimal long-run throughput that is almost decentralised. We then
C. Busch +14 more
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Almost Sure Convergence of Uniform Transport Processes to Brownian Motion
The Annals of Mathematical Statistics, 1971 Let $x_n(t)$ be the position of a particle in one dimension that switches between uniform velocities $+n$ and $-n$ at the jump times of a Poisson process with intensity $n^2$. In this note are constructed realizations of the processes $x_n(t)$ that converge almost surely to Brownian motion, uniformly on the unit time interval.
Griego, Richard J. +2 more
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An overlapping Schwarz method for singularly perturbed fourth-order convection-diffusion type
Mathematical Modelling and Analysis, 2020 In this paper, we have constructed an iterative numerical method based on an overlapping Schwarz procedure with uniform mesh for singularly perturbed fourth-order of convection-diffusion type.
J. Christy Roja, Ayyadurai Tamilselvan
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SN Applied Sciences, 2022 In this study, a parameter-uniform numerical scheme is built and analyzed to treat a singularly perturbed parabolic differential equation involving large spatial delay.
Ababi Hailu Ejere +3 more
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Results in Applied Mathematics, 2023 In this study, a robust higher-order numerical method for solving singularly perturbed parabolic reaction-diffusion problems is presented. The Crank-Nicolson method is applied to discretize the time derivative on a uniform mesh.
Gemechis File Duressa +2 more
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Particle-kernel estimation of the filter density in state-space models [PDF]
, 2014 Sequential Monte Carlo (SMC) methods, also known as particle filters, are simulation-based recursive algorithms for the approximation of the a posteriori probability measures generated by state-space dynamical models.
Crisan, Dan, Míguez, Joaquín
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Dependence Modeling, 2018 The main objective of this paper is to non-parametrically estimate the quantiles of a conditional distribution in the censorship model when the sample is considered as an -mixing sequence.
Kadiri Nadia +2 more
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Local linear modelling of the conditional distribution function for functional ergodic data
Mathematical Modelling and Analysis, 2022 The focus of functional data analysis has been mostly on independent functional observations. It is therefore hoped that the present contribution will provide an informative account of a useful approach that merges the ideas of the ergodic theory and ...
Somia Ayad +3 more
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Almost periodic functions in terms of Bohr’s equivalence relation [PDF]
, 2017 In this paper we introduce an equivalence relation on the classes of almost periodic functions of a real or complex variable which is used to refine Bochner’s result that characterizes these spaces of functions.
Sepulcre, Juan Matias, Vidal, Tomás
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