Sentence examples for modelled system the from inspiring English sources

For a more detailed discussion and an explicit listing of the regulatory functions see Additional file 1. Apart from yielding insights into the modelled system, the logical approach could also be used to validate crucial assumptions underlying the continuous reaction-rate model: Firstly and most importantly, we validated the network structure underlying the continuous reaction-rate model.

To develop an estimate of the stability of the modelled system in the absence of intelligent control, we simulated the model within each network using three unintelligent control methods: Null No control signals are used.

The finding that the natural frequency of the modelled system underlying the cEP was ∼ 20 Hz encouraged us to seek evidence of resonance when this system was forced by stimulating the STN at 20 Hz.

The more intuitive a model represents our perception of reality, the better it explains the modelled system and consequently contributes to an understanding of the living nature.

In contrast, computational, or executable, models have operational semantics, and define rules that describe how the modelled system moves from one state to the next [ 23].

Advantages of Q2 learning are that the induced qualitative model enables a (possibly causal) explanation of relations among the variables in the modelled system, and that numerical predictions are guaranteed to be qualitatively consistent with the qualitative model which alleviates the interpretation of the predictions.

Results from other projects were utilised to create a modelled system representation of the whole farm production infrastructure.

Our objective is to design a static feedback gains that gives at each step, the sejourn time of places, which guarantees: the convergence to a given desired trajectory and the respect of the constraints of the modelled system.

Once the process algebra model generated, performance analysis of the modelled system can be carried out.

When we assume that the behaviour of the modelled system is 1-periodic, a linear programming problem can be derived from the discrete implicit system, to answer both, the minimum (maximum) cycle time and the optimal initial sojourn time of tokens.

A model's explanatory power depends on how well the elements of a mathematical model specification correspond to the salient features of the modelled system.