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The approach has been used in a variety of contexts, including human resources planning, to gain an understanding of a system with complex dynamic and nonlinear interacting variables [ 17, 18].
Understanding how network perturbations, taken as deviations in reaction rate parameters and initial conditions from their nominal values, affect AP-1 activity is difficult because of the presence of nonlinear, interacting reaction mechanisms acting at multiple time scales.
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Here we show that rod- and cone-mediated responses interact nonlinearly to control the responses of primate retinal ganglion cells; these nonlinear interactions, surprisingly, were asymmetric, with rod responses strongly suppressing subsequent cone responses but not vice-versa.
By varying the solid interface resolution, we generate various non-matching grid ratios and quantify the accuracy of CRM for the nonlinear structure interacting with a laminar flow.
However, how to identify the optimal active state subspace of each linear subsystem is an open problem due to that the closed-loop performance of nonlinear systems interacts with these subspaces ranges.
This complexity arises from stochastic, nonlinear biological mechanisms interacting with a fluctuating environment.
However, MCT is affected by a number of interacting nonlinear dynamic parameters that are often neglected due to the challenge of quantifying such parameters.
Interacting nonlinear forces such as structural and aerodynamic forces cause destabilizing phenomena such as flutter and limit cycle oscillation on the wing.
To deal with nonlinear cases, the interacting multiple sensor filter (IMSF) is proposed in this paper by using the unscented Kalman filter (UKF), the extended Kalman filter (EKF) or the particle filter (PF).
We describe an added-mass partitioned (AMP) algorithm for solving fluid structure interaction (FSI) problems involving inviscid compressible fluids interacting with nonlinear solids that undergo large rotations and displacements.
The model is based on the mathematical and numerical decomposition of the coupled multiphysical nonlinear system into two interacting subsystems.
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