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Today, suitable models for components of automation systems are available only for some types of components.
SPICE is developed to provide a consistent and commonly understood set of models for components, circuits and signals.
In this chapter, heterogeneous design is described for the first time by allowing for different functional models for components using different implementation technologies.
The most basic inherent property of an ADT, i.e., that it provides a set of operations, subverts some highly desirable properties in emerging formal models for components that are based on the object oriented paradigm.
In order to avoid these errors, lifetime-performance models for components are needed that acknowledge the changes brought about by aging or damage over many size domains, from the macroscopic to the molecular level.
When models for components are not readily available, generic or custom models are required to advance the simulation.
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Let B 1 ′, B 1 ″, and B2 be fixed in Figure 1 and let the coefficient quantization be represented by the RD-WZQ model (for components of U 1 ′, this reduces to the non-distributed RD-optimal quantization).
This approach also works well for home-grown models and for components of bigger data systems (DePinto et al. 1993).
Assuming we have obtained the models for the components, there remains to implement the decomposition, i.e. to construct the component series.
The second part of the output is entitled "Derivation of the models for the components".
It is here that the interpretation of the models for the components intervenes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com