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Boston Dynamics' Atlas humanoid demos advanced real-time perception and adaptability in chaotic environments in new video.

Understanding neural network dynamics is a cornerstone of systems neuroscience, bridging the gap between biological neural networks and artificial neural ...

A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function ...

A library of power system component models written in the Modelica language that can be used for power system dynamic analysis, such as phasor time-domain simulations.

Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetric dynamical systems with decomposed Koopman operators per each ...

Among its key elements, the planetary gear system is an essential part of the helicopter transmission architecture. Establishing a dynamic model of the helicopter transmission system and analyzing the ...

This paper aims to present a simulation model able to represent this evolution. The model was drawn on brand equity concepts developed by Aaker and Joachimsthaler (2000), using the system dynamics ...

However, there has been little research on the interrelation between systems thinking and scientific modeling. To address this research gap, we conducted a thinking-aloud study with nine high school ...

Research method The model estimates the social, environmental, and economic performance through time based on the System Dynamics methodology. Main findings The results demonstrate the model's ...

Abstract: This article introduces ways to identify dynamic system models using measurement data. In power system analysis, a static model represents the time-invariant input–output relationship of a ...