The framework also paves the way to running distributed simulations of complex hybrid (i.e., continuous-discrete) closed-loop plant-controller systems and building complex models using the efficient object instantiation techniques of IEC 61499.
This clearly illustrates that great care must be taken when building complex models that contain many parameters.
Especially, building and maintaining complex models of smart sustainable cities functioning in real time from routinely sensed data has become a clear prospect [2, 5, 6].
One was modelling the female pelvic floor to examine the stresses involved in childbirth, another was building a complex model of the human spine to help doctors treating back pain.
The systems biology community is building increasingly complex models and simulations of cells and other biological entities, and are beginning to look at alternatives to traditional representations such as those provided by ordinary differential equations (ODE).
Therefore, for simplicity, we did not consider additional covariates in this study and proceeded with raw correlations instead of building complex linear models with several covariates with minor effect.
After building a complex model, one may attempt to extract information on not just the statistical model parameters, but parameters that are most informative regarding the scientific or policy question of interest.
To study molecular mechanisms of cell differentiation, computational systems biology approaches can be used to represent these processes; however, the latter often requires building complex intracellular signaling models with a large number of equations to accurately represent intracellular pathways and biochemical reactions.
When we understand the cell cycle as a regulated oscillator, or metabolic networks as systems for optimizing growth, we are likewise building simple models of complex processes.
