Publicerad: 2011-11-03
ISBN: 978-91-7519-825-5
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Over the past decades; engineered systems have increasingly come to rely on embedded computation in order to include advanced and sophisticated features. The unparallelled flexibility of software has been a blessing for implementing functionality with a complexity that could not have been imagined heretofore. One important manifestation of this is in the use of software as the universal system integration mechanism. With the increasing use; however; has come a suite of difficulties in effectively employing software engineering practices because (i) C (the language of choice in embedded software implementation) is very close to the hardware implementation and (ii) software engineering methods typically only consider logical correctness; irrespective of critical characteristics for embedded computation (e.g.; response time). To address these problems; Model-Based Design helps raise the level of abstraction while accounting for such critical characteristics. The corresponding models are designed using high-level formalisms such as block diagrams and state transition diagrams whose meaning is particularly intuitive because of their executable nature. The necessity to support increasingly complicated language elements; however; has caused the underlying execution engine to explode in complexity. As a result; the meaning of the high-level formalisms exists almost exclusively by merit of simulation. This paper attempts to present the challenges faced by the current state of Model-Based Design tools and outlines a solution approach by modeling the execution engine.
Model-Based Design; Cyber-Physical Systems; Modeling; Simulation; Computation; Numerical Integration; Hybrid Systems
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