Приклади вживання Continuous simulation Англійська мовою та їх переклад на Українською
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Continuous simulation is found.
Compared to discrete-event and continuous simulation.
Continuous simulation allows prediction of.
A widely known example for a continuous simulation conceptual model is the“predator/prey model”.
Continuous simulations are based on a set of differential equations.
In some cases, manufacturing systems modelling needs a continuous simulation approach.
DRS is also similar to continuous simulation in that it simulates homogeneous flow.
Indeed, much of modern technology that we enjoytoday would not be possible without continuous simulation.
A continuous simulation of sales implies the possibility of fractional sales e.g. 1/3 of a sale.
General simulation packages fall into two categories: discrete event and continuous simulation.
However, DRS differs from continuous simulation in that it is event-based and does not simulate every time slice.
DRS combines the event-based timing of discrete-event simulation(DES) and the continuous variables calculations found in continuous simulation.
As continuous simulation cannot be modeled by digital computers, it is done by taking small discrete steps.
Simulations are used in initial system design to optimize component selection and controller gains, as well as in Model Based Design systems to generate embedded control code.Real-time operation of continuous simulation is used for operator training and off-line controller tuning.
Continuous simulation must be clearly differentiated from discrete and discrete event simulation. .
In some cases, manufacturing systems modelling needs a continuous simulation approach.[7] These are the cases where the states of the system change continuously, like, for example, in the movement of liquids in oil refineries or chemical plants.
A continuous simulation applies a Continuous function using Real numbers to represent a continuously changing system.
Since that time continuous simulation has been proven invaluable in military and private endeavors with complex systems.
A continuous simulation of population dynamics represents an approximation of the population effectively fitting a curve to a finite set of measurements/points.
To speed creation of continuous simulations you can use graphical programming software packages like VisSim or Simcad Pro.
In continuous simulation, the continuous time response of a physical system is modeled using ODEs, embedded in a conceptual model.
Both forms of DES contrast with continuous simulation in which the system state is changed continuously over time on the basis of a set of differential equations defining the rates of change of state variables.
Continuous simulations may be applied to represent discrete phenomena, but the resulting simulations produce extraneous or impossible results for some cases.
Modeling linear flow systems using continuous simulation has limitations because it usually is unable to detect important events, such as a tank becoming full or empty, until after the event has occurred plus requires many more system recalculations during the course of the simulation.[4].
Continuous Simulation refers to a computer model of a physical system that continuously tracks system response according to a set of equations typically involving differential equations.[1][2].
For that reason, a continuous simulation of sales does not model reality but nevertheless may make useful predictions that match a discrete simulation's predictions for whole numbers of sales.
A comparison between discrete rate, continuous, and discrete event simulation.
This is a useful feature, since there are many cases where both, continuous and discrete simulation, have to be combined.
We must not forget that the mesh should be continuous, for example, in this simulation you need two grids- two half DL, and the load should turn on between them.
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