Download PDF by John Fitzgerald, Peter Gorm Larsen, Marcel Verhoef: Collaborative Design for Embedded Systems: Co-modelling and

By John Fitzgerald, Peter Gorm Larsen, Marcel Verhoef

ISBN-10: 3642541178

ISBN-13: 9783642541179

ISBN-10: 3642541186

ISBN-13: 9783642541186

One of the main major demanding situations within the improvement of embedded and cyber-physical platforms is the space among the disciplines of software program and regulate engineering. In a market, the place quick innovation is key, engineers from either disciplines must be capable of discover process designs collaboratively, allocating tasks to software program and actual components, and examining trade-offs among them.

To this finish, this ebook provides a framework that permits the very other kinds of layout types – discrete-event (DE) models of software program and continuous time (CT) types of the actual atmosphere – to be analyzed and simulated together, according to universal eventualities. the person chapters supply introductions to each side of this co-simulation know-how, and provides a step by step advisor to the technique for designing and interpreting co-models. they're grouped into 3 components: half I introduces the technical foundation for collaborative modeling and simulation with the Crescendo expertise. half II maintains with assorted methodological directions for growing co-models and studying them in numerous methods utilizing case reviews. half III then delves into extra complicated subject matters and appears into the aptitude way forward for this know-how within the quarter of cyber-physical structures. ultimately a variety of appendices supply summaries of the VDM and 20-sim applied sciences, a couple of worthwhile layout styles acceptable for co-models, and an acronym checklist besides indices and references to different literature. by means of combining descriptions of the underlying thought with documents of actual engineers’ adventure in utilizing the framework on a chain of case experiences the publication appeals to scientists and practitioners alike. it's complemented by means of instruments, examples, movies, and different fabric on

Scientists/researchers and graduate scholars operating in embedded and cyber-physical platforms will examine the semantic foundations for collaborative modeling and simulation, in addition to the present functions and obstacles of equipment and instruments during this box. Practitioners might be capable of strengthen an appreciation of the services of the co-modeling ideas, to evaluate the advantages of extra collaborative techniques to modeling and simulation, and should enjoy the integrated instructions and modeling patterns.

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Additional info for Collaborative Design for Embedded Systems: Co-modelling and Co-simulation

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The large arrows indicate data exchange between the co-simulation engine and the two simulators. Note that the simulators do not communicate directly. 1 The Co-simulation Engine In order to allow coherent co-simulations to be performed, it is important to reconcile the semantics of two simulation tools from different domains. This is covered in detail in Chap. 13. At this stage however, it is useful to understand the basic operation of a co-simulation and of the co-simulation engine. 3 presents an abstract view of the synchronisation scheme underlying co-simulation between a DE simulation of a controller (top) and a CT simulation of the plant (bottom).

2 and continue this process until we arrive at subsystems that cannot be split anymore. We call the models which describe these subsystems elementary models. g. a mass, a spring or friction. We refer to these elementary models as ideal physical models (IPMs). A real spring, as a component, not only has the property of being a spring, it also has a certain mass and damping. A component can be built from elementary, ideal models. In the next section, elementary phenomena in the mechanical, electrical and hydraulic domain will be described.

Unfortunately, due to problems during the development, production is delayed significantly and this allows their rival to release a competing product sooner and gain the upper hand in the market. Although this story is fictional, we have drawn on the experiences of the industrial partners who participated in the development of our method. In the following sections, we consider the different perspectives of the engineers and software designers in this failed development and from this motivate the need for collaborative development that underpins our approach.

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Collaborative Design for Embedded Systems: Co-modelling and Co-simulation by John Fitzgerald, Peter Gorm Larsen, Marcel Verhoef

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