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Addressing parameter identifiability by model-based experimentation.
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The concept is established in close cooperation between experimentation, modeling and model-based experimental design and allows for robustness analyses and upscale predictions.
In addition, the use of model-based (in silico) experimentation can greatly reduce the effort and cost of biological experiments, and simultaneously facilitate the understanding of complex biological systems [ 41- 44].
On the other hand, the use of model-based (in silico) experimentation can greatly reduce the effort and cost of biological experiments, and simultaneously facilitates the understanding of complex biological systems.
The underlying methodology – high throughput process development – is an interplay of high throughput experimentation, usage of adequate analytics and model based experimentation or process development.
Since experimentation is fast, a machine in the loop procedure can be explored to close the design loop from experiment, experimental model building, model-based control design, implementation and performance evaluation.
This approach consists of a novel model-based methodology for the design of dynamic experiments to minimise the required experimentation and to improve parameter precision, as well as model-based control and optimisation techniques.
Model-based simulations.
More camera-based experimentation here, although FriendStrip focuses not on filmmaking, but on comic strips.
Advances in this area will require detailed lab-based experimentation, including subcellular localizations.
The work together would provide tremendous benefits when designing and developing microwave drying processes and products through a novel synergy between physics-based modeling and detailed experimentation.
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