Results 11 to 20 of about 57,321 (196)
Passive identification of multivariable stabilization system elements’ dynamics
Increasing domestic automatic control systems competitiveness requires the design work intensification based on the implementation of modern information technologies.
S. I. Osadchy, V. A. Zozulia
doaj +1 more source
Transversal homoclinics in nonlinear systems of ordinary differential equations
Bifurcation of transversal homoclinics is studied for a pair of ordinary differential equations with periodic perturbations when the first unperturbed equation has a manifold of homoclinic solutions and the second unperturbed equation is vanishing.
Michal Fečkan
doaj +1 more source
Extended Differential Aggregations in Process Algebra for Performance and Biology [PDF]
We study aggregations for ordinary differential equations induced by fluid semantics for Markovian process algebra which can capture the dynamics of performance models and chemical reaction networks. Whilst previous work has required perfect symmetry for
Max Tschaikowski, Mirco Tribastone
doaj +1 more source
We investigate electromagnetic, gravitational, and plasma-related perturbations to the first order on homogeneous and hypersurface orthogonal locally rotationally symmetric (LRS) class II spacetimes.
Philip Semrén
doaj +1 more source
Asymptotic behavior of solutions of a system of nonlinear differential equations with small parameter [PDF]
The present paper addresses a qualitative pattern of the behavior of solutions of a system of ordinary differential equations when small parameter tends to zero at a finite amount of time where slow variable passes through a certain point that ...
Petelina Vera
doaj +1 more source
A two-step perturbation technique for nonuniform single and differential lines [PDF]
A novel two-step perturbation technique to analyze nonuniform single and differential transmission lines in the frequency domain is presented. Here, nonuniformities are considered as perturbations with respect to a nominal uniform line, allowing an ...
Chernobryvko, Mykola +2 more
core +1 more source
Sparse inference and active learning of stochastic differential equations from data
Automatic machine learning of empirical models from experimental data has recently become possible as a result of increased availability of computational power and dedicated algorithms. Despite the successes of non-parametric inference and neural-network-
Yunfei Huang +3 more
doaj +1 more source
Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data. [PDF]
Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell.
Zahra Narimani +4 more
doaj +1 more source
ONE-DIMENSIONAL SIMULATIONS OF INHOMOGENEITY GROWTH IN PRESSURELESS GRAVITATING MATTER
We study a model of the inhomogeneity growth in the Universe filled with a pressureless matter. The standard hydrodynamical equations for the cosmological perturbations in the comoving frame are treated taking into account all nonlinear terms.
V. I. Zhdanov, V. M. Sliusar
doaj +1 more source
In this paper, we analytically study the two-dimensional unsteady irrotational flow of an ideal incompressible fluid in a half-plane whose boundary is assumed to be a linear sink.
Nikolay M. Zubarev
doaj +1 more source

