Results 91 to 100 of about 84,386 (283)
A new mechanism of the chaos suppression
The standard Melnikov method for analyzing the onset of chaos in the vicinity of a separatrix is used to explore the possibility of suppression of chaos of a certain class of dynamical systems. For a given dynamical system we apply an external perturbation, which we call the stabilizing perturbation, with the goal that after its action the chaos ...
Arsen R. Dzhanoev +3 more
openaire +1 more source
Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang +6 more
wiley +1 more source
Optical Chaos Generation and Applications
This review comprehensively examines the optical chaos generation and its diverse applications, focusing on recent advancements in this field. Optical chaos, characterized by its sensitivity to initial conditions and unpredictability, has been ...
Wenhui Chen +8 more
doaj +1 more source
Detection of the onset of numerical chaotic instabilities by lyapunov exponents
It is commonly found in the fixed-step numerical integration of nonlinear differential equations that the size of the integration step is opposite related to the numerical stability of the scheme and to the speed of computation.
Alicia Serfaty De Markus
doaj +1 more source
Effect of Random Parameter Switching on Commensurate Fractional Order Chaotic Systems
The paper explores the effect of random parameter switching in a fractional order (FO) unified chaotic system which captures the dynamics of three popular sub-classes of chaotic systems i.e. Lorenz, Lu and Chen's family of attractors.
Das, Saptarshi +2 more
core +1 more source
Controlling Dynamical Systems Into Unseen Target States Using Machine Learning
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr +2 more
wiley +1 more source
Chaos Suppression in Spiral Bevel Gears Through Profile Modifications
Spiral bevel gears are used in a wide range of industries, such as automotive and aerospace, to transfer power between intersecting axes. However, a certain level of vibration is always present in the systems, primarily due to the complex dynamic forces ...
Milad Asadi +3 more
doaj +1 more source
Suppression of Chaos in Porous Media Convection under Multifrequency Gravitational Modulation
Suppression of chaos in porous media convection under multifrequency gravitational modulation is investigated in this paper. For this purpose, a two-dimensional rectangular fluid-saturated porous layer heated from below subjected to a vertical ...
Karam Allali
doaj +1 more source
On the Prospects for African Philosophy in Australia
ABSTRACT This paper grapples with the situation of people of African descent in Australia by working through the constitution of the body of academic philosophy in the country. It contends with the parochialism of the Australian philosophical community and the prospects for the cultivation of greater pluralism. Taking African philosophy as one possible
Bryan Mukandi
wiley +1 more source
Nonlinear State Estimation and Control for Chaos Suppression in MEMS Resonator
During the last decade the chaotic behavior in MEMS resonators have been reported in a number of works. Here, the chaotic behavior of a micro-mechanical resonator is suppressed.
Angelo Marcelo Tusset +4 more
doaj +1 more source

