Abstract
This publication is about simulating cyber-physical
models with varying levels of detail, how to structure the
models to make this possible and how to design the submodels
required. A structured method is posed to select
which signals of the model to use for the structure and how
to determine the different parts of the models to abstract
away when varying the detail of sub-models. This method is
applied to two examples based on a lab setup available. One
example shows hard limits due to encoder processing, the
other example shows the effects of simplified dynamic models.
The method is effective in both examples and shows a
clear trade-off between accuracy and performance.
models with varying levels of detail, how to structure the
models to make this possible and how to design the submodels
required. A structured method is posed to select
which signals of the model to use for the structure and how
to determine the different parts of the models to abstract
away when varying the detail of sub-models. This method is
applied to two examples based on a lab setup available. One
example shows hard limits due to encoder processing, the
other example shows the effects of simplified dynamic models.
The method is effective in both examples and shows a
clear trade-off between accuracy and performance.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 32nd European Conference on Modelling and Simulation ECMS 2018 |
| Pages | 219-225 |
| Publication status | Published - 22 Jun 2018 |
| Event | 32nd European Conference on Modelling and Simulation 2018 - Wilhelmshaven, Germany Duration: 22 May 2018 → 25 May 2018 Conference number: 32 http://www.scs-europe.net/conf/ecms2018/ |
Conference
| Conference | 32nd European Conference on Modelling and Simulation 2018 |
|---|---|
| Abbreviated title | ECMS 2018 |
| Country/Territory | Germany |
| City | Wilhelmshaven |
| Period | 22/05/18 → 25/05/18 |
| Internet address |