Synchronization of General Linear Multi-Agent Systems With Measurement Noises
Sign Up to like & getrecommendations! Published in 2017 at "Asian Journal of Control"
DOI: 10.1002/asjc.1357
Abstract: This paper studies the synchronization of general linear multi-agent systems with measurement noises in mean square. It shows that the conventional consensus protocol is efficient and robust to the additive and multiplicative measurement noises in… read more here.
Keywords: synchronization general; measurement noises; agent systems; multi agent ... See more keywords
Numerical solutions of random mean square Fisher‐KPP models with advection
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.5942
Abstract: This paper deals with the construction of numerical stable solutions of random mean square Fisher‐Kolmogorov‐Petrosky‐Piskunov (Fisher‐KPP) models with advection. The construction of the numerical scheme is performed in two stages. Firstly, a semidiscretization technique transforms… read more here.
Keywords: kpp models; fisher kpp; random mean; mean square ... See more keywords
Mean square exponential stabilization of uncertain time‐delay stochastic systems with fractional Brownian motion
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5764
Abstract: This article is concerned with exponential mean square stabilization of stochastic systems driven by fractional Brownian motion subject to state‐delay and uncertainties by sliding mode control. By applying the proposed method, the states of the… read more here.
Keywords: square exponential; fractional brownian; stochastic systems; mean square ... See more keywords
Incorporating Nonparametric Knowledge to the Least Mean Square Adaptive Filter
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-018-0954-x
Abstract: In the framework of the maximum a posteriori estimation, the present study proposes the nonparametric probabilistic least mean square (NPLMS) adaptive filter for the estimation of an unknown parameter vector from noisy data. The NPLMS… read more here.
Keywords: least mean; adaptive filter; mean square; incorporating nonparametric ... See more keywords
Communication-Reducing Algorithm of Distributed Least Mean Square Algorithm with Neighbor-Partial Diffusion
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01374-1
Abstract: With the development of distributed algorithms, many researchers are committed to the goal of maintaining the long-term stability of the network by reducing the communication cost. However, many algorithms that lessen communication costs often result… read more here.
Keywords: partial diffusion; communication; neighbor partial; mean square ... See more keywords
Minimum mean square error estimator for speech enhancement in additive noise assuming Weibull speech priors and speech presence uncertainty
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-020-09767-y
Abstract: A novel single-channel technique was proposed based on a minimum mean square error (MMSE) estimator to enhance short-time spectral amplitude (STSA) in the Discrete Fourier Transform (DFT) domain. In the present contribution, a Weibull distribution… read more here.
Keywords: presence; speech; speech enhancement; mean square ... See more keywords
Mean-square convergence of numerical methods for random ordinary differential equations
Sign Up to like & getrecommendations! Published in 2020 at "Numerical Algorithms"
DOI: 10.1007/s11075-020-00967-w
Abstract: The aim of this work is to analyze the mean-square convergence rates of numerical schemes for random ordinary differential equations (RODEs). First, a relation between the global and local mean-square convergence order of one-step explicit… read more here.
Keywords: ordinary differential; random ordinary; square convergence; mean square ... See more keywords
Logarithmic reweighting nonnegative least mean square algorithm
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DOI: 10.1007/s11760-017-1129-0
Abstract: System identification based on least mean square (LMS) adaptive filters is effective due to their simplicity and robustness. Inherent physical characteristic of intended system usually make nonnegativity constraint desirable. In other words, imposing nonnegativity constraint… read more here.
Keywords: nonnegative least; mean square; logarithmic reweighting; least mean ... See more keywords
The mean square stability analysis of a stochastic dynamic model for electricity market
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-015-0472-0
Abstract: The mean square stability pertaining to a stochastic electricity market model is analyzed in this paper. Considering the random nature of demand elasticity, the stochastic electricity market model under small Gauss type random excitation has… read more here.
Keywords: mean square; stability; electricity market; model ... See more keywords
Investigation of mean-square displacement and elastic moduli of solid argon up to 85 GPa
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DOI: 10.1016/j.chemphys.2020.110928
Abstract: Abstract The pressure effects on lattice parameter, atomic mean-square displacement and elastic moduli (Young’s modulus, shear modulus and bulk modulus) of solid argon have been studied based on the so-called statistical moment method in statistical… read more here.
Keywords: mean square; displacement elastic; elastic moduli; square displacement ... See more keywords
Boring Bar Chatter Control using Feedback Filtered-x Normalized Least Mean Square Algorithm
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.10.057
Abstract: Abstract This paper deals with the adaptive control of chatter vibrations in boring operations. A novel feedback control method is suggested based upon the well-known filtered-x normalized least mean square (FxNLMS) algorithm. The proposed feedback… read more here.
Keywords: control; feedback; mean square; controller ... See more keywords