Translations:Modellkonzept/6/en - Versionsgeschichte

Froehlich am 25. November 2020 um 15:34 Uhr

2020-11-25T15:34:51Z

← Nächstältere Version		Version vom 25. November 2020, 17:34 Uhr
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	The more detailed you carry out the spatial and temporal discretization, the more information can be gained about the system itself. However, the highest possible resolution of a system does not always provide the best advantage, because a closer examination requires more characteristic values and parameters, some of which ~~are seldonly~~ available in sufficient quality and are therefore difficult to estimate. Thus, there is a suitable degree of abstraction for each task, which can however be subject to change due to increasing requirements and ~~better~~ available input data.		The more detailed you carry out the spatial and temporal discretization, the more information can be gained about the system itself. However, the highest possible resolution of a system does not always provide the best advantage, because a closer examination requires more characteristic values and parameters, some of which may not be available in sufficient quality and are therefore difficult to estimate. Thus, there is a suitable degree of abstraction for each task, which can however be subject to change due to increasing requirements and improved quality of available input data.

	The collection of characteristics and parameters can be described using the term system data analysis. The collection of the control relationships and their implementation for the simulation is called the operational analysis. From the latter, a kind of second system logic arises, which does not contain flow relations but the logical connections of the state variables to derive the output decisions. It can be called control logic.		The collection of characteristics and parameters can be described using the term system data analysis. The collection of the control relationships and their implementation for the simulation is called the operational analysis. From the latter, a kind of second system logic arises, which does not contain flow relations but the logical connections of the state variables to derive the output decisions. It can be called control logic.

Froehlich am 22. September 2020 um 15:15 Uhr

2020-09-22T15:15:40Z

← Nächstältere Version		Version vom 22. September 2020, 17:15 Uhr
Zeile 1:		Zeile 1:
	The more detailed the spatial and temporal discretization ~~is operated~~, the more information can be gained about the system itself. However, the highest possible resolution of a system is not always ~~of unrestricted~~ advantage, because a closer examination requires more characteristic values and parameters, some of which are ~~hardly~~ available in sufficient quality and are therefore difficult to estimate. Thus, there is a ~~corresponding~~ degree of abstraction for each task, which is subject to change due to increasing requirements and better available input data.		The more detailed you carry out the spatial and temporal discretization, the more information can be gained about the system itself. However, the highest possible resolution of a system does not always provide the best advantage, because a closer examination requires more characteristic values and parameters, some of which are seldonly available in sufficient quality and are therefore difficult to estimate. Thus, there is a suitable degree of abstraction for each task, which can however be subject to change due to increasing requirements and better available input data.
	The collection of characteristics and parameters can be ~~combined under~~ the term system data analysis. The collection of the control relationships and their implementation for the simulation is ~~the content of~~ the operational analysis. From it a kind of second system logic arises, which does not contain flow relations but the logical connections of the state variables to derive the output decisions. It can be called control logic.
			The collection of characteristics and parameters can be described using the term system data analysis. The collection of the control relationships and their implementation for the simulation is called the operational analysis. From the latter, a kind of second system logic arises, which does not contain flow relations but the logical connections of the state variables to derive the output decisions. It can be called control logic.

Ferrao: Die Seite wurde neu angelegt: „The more detailed the spatial and temporal discretization is operated, the more information can be gained about the system itself. However, the highest possibl…“

2020-09-22T09:33:54Z

Die Seite wurde neu angelegt: „The more detailed the spatial and temporal discretization is operated, the more information can be gained about the system itself. However, the highest possibl…“

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The more detailed the spatial and temporal discretization is operated, the more information can be gained about the system itself. However, the highest possible resolution of a system is not always of unrestricted advantage, because a closer examination requires more characteristic values and parameters, some of which are hardly available in sufficient quality and are therefore difficult to estimate. Thus, there is a corresponding degree of abstraction for each task, which is subject to change due to increasing requirements and better available input data.
The collection of characteristics and parameters can be combined under the term system data analysis. The collection of the control relationships and their implementation for the simulation is the content of the operational analysis. From it a kind of second system logic arises, which does not contain flow relations but the logical connections of the state variables to derive the output decisions. It can be called control logic.