Continuous model
Continuous models are models that describe the modeled system using differential equations . The continuous simulation enables experimentation with these models. The modeling of such models is subject to various difficulties, depending on the area of application. While the identification of equations is often easier in the scientific and technical context, but is mathematically very complex, identification in, for example, psychology or the social sciences is very difficult (but not so mathematically complex).
Formally
A continuous model (DESS, ( Differential Equation Specified System )) is defined by input quantity, output quantity, state quantity, the function of the rate of change and the output function.
Areas of application
| Area | Problem | ||||
| Theoretical biology (see also systems biology ) | analysis | ||||
| chemistry | Analysis and regulation | ||||
| electronics | draft | ||||
| mechanics | Design and regulation | ||||
| Social sciences | Prediction and speculation | Commercial training firms | Analysis, practice and regulation | and much more |
Descriptive languages
- Block oriented
- CSSL ( Continuous System Simulation Language ) (1965)
- System Dynamics
- Modelica (1996)
- MAST
- VHDL-AMS
literature
- FE Cellier: Continuous system modeling . Springer-Verlag, New York 1991, ISBN 0-387-97502-0 .