Results 121 to 130 of about 24,564,249 (381)
Nonlinear Modeling for Distortion Analysis in Silicon Bulk-Mode Ring Resonators
Micromachines, 2012 A distributed modeling approach has been developed to describe the dynamic behavior of ring resonators. The model includes the effect of large amplitudes around primary resonance frequencies, material and electrostatic nonlinearities.
Farshad Babazadeh +2 more
doaj +1 more source
Complex Valued Deep Neural Networks for Nonlinear System Modeling. [PDF]
Neural Process Lett, 2022 Lopez-Pacheco M, Yu W.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker +5 more
wiley +1 more source
AerospaceThis paper deals with the problem of the estimation of non-uniformly nonlinear systems with time-varying delays in the state and input. In addition, the problem of the sampled output measurement is also been addressed.
Omar Hernández-González +6 more
doaj +1 more source
Some new results on iterative learning control of noninteger order [PDF]
Scientific Technical Review, 2014 Iterative learning control (ILC) is one of the recent topics in control theories and it is a powerful control concept that iteratively improves the behavior of processes repetitive in their nature.
Lazarević Mihailo
doaj
Известия Иркутского государственного университета: Серия "Математика", 2019 This study is concerned with a system of two nonlinear first order partial differential equations. The right-hand sides of the system contain the squares of the gradients of the unknown functions.
A.A. Kosov +2 more
doaj +1 more source
Identification of nonlinear state-space systems using zero-input responses [PDF]
, 2004 This paper studies the generalization of linear subspace identification techniques to nonlinear systems. The basic idea is to combine nonlinear minimal realization techniques based on the Hankel operator with embedding theory used in time-series modeling.
Scherpen, Jacquelien,, Verdult, Vincent,
core +1 more source
On linear and nonlinear perturbations of linear systems of ordinary differential equations with constant coefficients [PDF]
, 1956 Philip Hartman, Aurel Wintner
openalex +1 more source
Nonlinear System Identification of Neural Systems from Neurophysiological Signals. [PDF]
Neuroscience, 2021 He F, Yang Y.
europepmc +1 more source