Results 101 to 110 of about 2,005 (225)

Emergent Chaos‐Like Dynamics of Spin–Orbit‐Torque‐Driven Magnetic Transitions

open access: yesSmall, Volume 22, Issue 37, 2 July 2026.
By combining anisotropy‐engineered nanometer‐scale nucleation sites with time‐resolved x‐ray holography and micromagnetic modeling, magnetization dynamics are directly imaged, revealing chaos‐like fluctuations and skyrmion shedding and highlighting the intrinsic complexity of spin‐orbit torque driven systems.
L.‐M. Kern   +14 more
wiley   +1 more source

Lyapunov functionals for time delay systems

open access: yes, 2011
W pracy przedstawiono zastosowanie funkcjonałów Lapunowa do badania stabilności układów z opóźnieniem oraz w procesie optymalizacji parametrycznej.In the paper was presented the application of the Lyapunov functionals to examination of the stability of ...
Duda, J.
core  

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani   +3 more
wiley   +1 more source

Lyapunov-Krasovskii functionals and application to input delay compensation for linear time-invariant systems

open access: yes, 2020
For linear systems with pointwise or distributed delay in the inputs which are stabilized through the reduction approach, we propose a new technique of construction of Lyapunov-Krasovskii functionals.
Silviu-Iulian Niculescu   +2 more
core  

Local Hypoellipticity by Lyapunov Function

open access: yesAbstract and Applied Analysis, 2016
We treat the local hypoellipticity, in the first degree, for a class of abstract differential operators complexes; the ones are given by the following differential operators:Lj=∂/∂tj+(∂ϕ/∂tj)(t,A)A,j=1,2,…,n, whereA:D(A)⊂H→His a self-adjoint linear operator, positive with0∈ρ(A), in a Hilbert spaceH, andϕ=ϕ(t,A)is a series of nonnegative powers ofA ...
openaire   +4 more sources

Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays

open access: yesAdvances in Difference Equations, 2009
The impulsive control method is developed to stabilize a class of neural networks with both time-varying and distributed delays. Some exponential stability criteria are obtained by using Lyapunov functionals, stability theory, and control by impulses.
Lizi Yin, Xiaodi Li
doaj   +1 more source

Flexible control Lyapunov functions

open access: yes2009 American Control Conference, 2009
A central tool in systems theory for synthesizing control laws that achieve stability are control Lyapunov functions (CLFs). Classically, a CLF enforces that the resulting closed-loop state trajectory is contained within a cone with a fixed, predefined shape, and which is centered at and converges to a desired converging point.
openaire   +2 more sources

Theorems on boundedness of solutions to stochastic delay differential equations

open access: yesElectronic Journal of Differential Equations, 2016
In this report, we provide general theorems about boundedness or bounded in probability of solutions to nonlinear delay stochastic differential systems. Our analysis is based on the successful construction of suitable Lyapunov functionals.
Youssef N. Raffoul, Dan Ren
doaj  

Finite element approximation of Lyapunov equations for the computation of quadratic functionals of SPDEs

open access: yes, 2019
The computation of quadratic functionals of the solution to a linear stochastic partial differential equation with multiplicative noise is considered.
Lang, Annika,   +3 more
core   +2 more sources

Simple method for the design of Lyapunov functionals in distributed-parameter systems

open access: yes, 2023
The properties of Lyapunov functionals for systems of partial differential equations are expressed in local form. When written as an identity, the Lagrange multiplier forms the basis of a design method.
Timothy Gordon (17158699)
core   +1 more source

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