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In this paper, a Software Product Line (SPL) approach is adopted to demonstrate the dependencies and associations between models of subsystems.
The method is based on virtualization techniques and combines a process-force mechanistic model and a reduced machine stiffness model synthesized from virtual and experimental reduced models of subsystems.
The novelty of the proposed approach consists in assessing the influence of interactions by means of characteristic functions/loci of the plant interaction matrix, and further using them to modify mathematical models of subsystems thus defining the so called „equivalent subsystems‟.
The approach presented here can be further complemented by mechanistic models of subsystems of the cell (like metabolic models) to indicate new avenues to engineer simpler biological systems.
The formal language of pi-calculus, originally developed for describing concurrent computational systems, specifies a framework to model large biological systems incrementally, intuitively building from simpler models of subsystems [ 12, 13].
The bottom-up explanatory models of subsystems and the combined understanding of cellular systems on the basis of their physical principles have been a core concept of molecular biology and systems biology for more than half a century.
Similar(54)
Our approach is based on projection and abstraction and allows us to reduce the task of model-checking the whole system to fair model-checking of subsystems consisting of a constant number of processes.
The Earth is unfathomably complex system and creating an accurate model of its climate requires scientists to model hundreds of subsystems and the ways these systems interact everything from macro-level atmospheric and oceanic changes to the rates at which plants recycle carbon dioxide.
Subsequently, dynamic models of all subsystems are developed.
To this end, a system model is developed by integrating basic models of the subsystems.
The controller design is based on the local models of the subsystems.
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