Sentence examples for modeling nonlinear dynamics from inspiring English sources

The main advantages of the proposed approach consisted in the natural ability of neural networks in modeling nonlinear dynamics in a fast and simple way and in the possibility to address the process to be modeled as an input-output black box, with little or no mathematical information on the system.

Results indicate neural network based black-box method is suitable for modeling the nonlinear dynamics of the helicopter.

Major challenges related to this research effort include the identification and design of techniques for incorporating sensory data in the control algorithm, modeling the nonlinear dynamics of the manipulators, and the development of intelligent and adaptive control schemes for the coordination of multiple arms in the presence of unknown parameters and payload variations.

Different from most existing strategies, T S fuzzy approximation approach is used to model the nonlinear dynamics of flexible spacecraft.

Since the neural network is used to model the nonlinear dynamics only, not the overall process, a relatively small sized network is required, thus reducing computational requirement.

This paper addresses the derivation of finite element modelling for nonlinear dynamics of Cosserat rods with general deformation of flexure, extension, torsion, and shear.

The Sanders-Koiter shell theory is used to model the nonlinear dynamics of the system in the case of finite amplitude of vibration.

The Sanders Koiter theory is applied to model the nonlinear dynamics of the system in the case of finite amplitude of vibration.

The Duffing equation has been used to model the nonlinear dynamics of special types of mechanical and electrical systems.

Traditional treatment suffers from problems inadequate modeling of nonlinear dynamics: training sequences may be acquired under very different conditions, showing different durations, velocities, and accelerations during the performance of an action.

Most epidemic models describe nonlinear dynamics, and estimating the rate of coalescence between two pathogen samples during an outbreak is highly dependent on the demographic model used (Koelle and Rasmussen 2012; Volz 2012).