Results 71 to 80 of about 1,407,788 (320)

Stochastic nonlinear differential equations. II

open access: yesPhysica A: Statistical Mechanics and its Applications, 1974
Abstract The general formulae derived in an earlier article are applied to some special cases, viz., the Fokker-Planck or diffusion limit, the linear case, and the Malthus-Verhulst equation with random coefficients.
Heilmann, O.J., Kampen, N.G. van
openaire   +2 more sources

Spatial Hamiltonian identities for nonlocally coupled systems

open access: yes, 2018
We consider a broad class of systems of nonlinear integro-differential equations posed on the real line that arise as Euler-Lagrange equations to energies involving nonlinear nonlocal interactions.
Bakker, Bente, Scheel, Arnd
core   +2 more sources

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg   +5 more
wiley   +1 more source

The exact solutions to the generalized (2+1)-dimensional nonlinear wave equation

open access: yesResults in Physics
Due to the importance of the nonlinear partial differential equations in applied physics and engineering, many mathematicians and physicists are interesting to the nonlinear partial differential equations.
Jianping Li, Can Xu, Junliang Lu
doaj   +1 more source

The Spectral Homotopy Analysis Method Extended to Systems of Partial Differential Equations

open access: yesAbstract and Applied Analysis, 2014
The spectral homotopy analysis method is extended to solutions of systems of nonlinear partial differential equations. The SHAM has previously been successfully used to find solutions of nonlinear ordinary differential equations.
S. S. Motsa   +3 more
doaj   +1 more source

On nonlinear delay differential equations [PDF]

open access: yesTransactions of the American Mathematical Society, 1994
We examine qualitative behaviour of delay differential equations of the form \[ y ′ ( t ) = h ( y ( t ) , y ( q t ) ) , y ( 0 ) = y 0
openaire   +1 more source

Dressing method based on homogeneous Fredholm equation: quasilinear PDEs in multidimensions

open access: yes, 2007
In this paper we develop a dressing method for constructing and solving some classes of matrix quasi-linear Partial Differential Equations (PDEs) in arbitrary dimensions.
A I Zenchuk   +20 more
core   +3 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Jacobi Elliptic Solutions for Nonlinear Differential Difference Equations in Mathematical Physics

open access: yesJournal of Applied Mathematics, 2012
We put a direct new method to construct the rational Jacobi elliptic solutions for nonlinear differential difference equations which may be called the rational Jacobi elliptic functions method.
Khaled A. Gepreel, A. R. Shehata
doaj   +1 more source

Inference in Nonlinear Differential Equations [PDF]

open access: yes, 2015
Parameter inference in mechanistic models of coupled differential equations is a challenging problem. We propose a new method using kernel ridge regression in Reproducing Kernel Hilbert Spaces (RKHS). A three-step gradient matching algorithm is developed
Filippone, Maurizio   +3 more
core  

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