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Any system in dynamic equilibrium tends to reach a steady state, a balance that resists outside forces of change.
The potential applications of the e-Reporting system in dynamic decision support scenarios are also discussed.
The elastic solution under uniformly distributed loads, found using Lekhnitskii's approach, is the starting point for the discussion of the system in dynamic equilibrium.
The stability of vehicle active anti-collision system in dynamic environment is still one of the most difficult problems to break through nowadays.
We take into consideration the method of identification of a system in dynamic conditions by applying a Graybox Identification Model and a Dynamic Adaptative Linear Neural Network (ALNN) model.
The growth characteristics of the system in dynamic have some natural order and can be ranked and subordinated to each other (Deshina, 2009).
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However, the currency of such analysis is rapidly eroded by system changes; in dynamic systems these include the need to support ad-hoc collaboration, and dynamic connectivity between the system's components.
According to its features, AO could become a useful tool to better understand biochemical systems in dynamic state.
The design variable tolerance effects on the natural frequency variance of constrained multi-body systems in dynamic equilibrium are investigated in this study.
This paper proposes a hierarchical overlay architecture based on partially central and semi-structured overlay models for the deployment of peer-to-peer systems in dynamic network environments.
In order to verify the accuracy and the efficiency of the method, some numerical examples of multi-body systems in dynamic equilibrium are solved and the results are compared to those obtained by an analytical method and Monte-Carlo simulation.
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