Facing the high and growing design complexity in nowadays electronic systems, the need of more efficient modeling and simulation techniques arises in the domain of virtual prototypes. In the frame of this work, two major aspects of the non-functional performance estimation in fast hardware and software co-simulation are considered. In simulating the software, a method for annotating the source ...

The paper describes an experience on the simulation of a complex electrical plant: the allelectric icebreaker Healy of the US Coast Guard. This project represents an interesting experience from many points of view: • Validated data were available for comparison • A model of part of the system was already available • The target was to insert a legacy model in a wider and more complete simulation...

Model-Based Systems Engineering plays a key role in managing the complexity in the development of modern cyber-physical systems. Model simulation allows conducting early validation and verification activities. In the context of Extended Enterprises, systems are built out of components developed in different companies as black boxes to protect the company Intellectual Property. Simulation activi...

Co-Simulation is a general approach to simulate coupled technical systems. In a master-slave concept the slaves simulate sub-problems whereas the master is responsible for both coordinating the overall simulation as well as transferring data. To unify the interface between master and slave the FMI for CoSimulation was developed. Using FMI a master was implemented with simple and advanced algori...

The Functional Mockup Interface (FMI) is a tool independent standard for the exchange of dynamic models and for Co-Simulation. The first version, FMI 1.0, was published in 2010. Already more than 30 tools support FMI 1.0. In this paper an overview about the upcoming version 2.0 of FMI is given that combines the formerly separated interfaces for Model Exchange and Co-Simulation in one standard. ...

In this paper we present our solution to master the complexity of product adaption cycles of a medical X-ray control unit. We present the real hardware and software platform and our mapping of it to a virtual X-ray control unit, implemented as our hardware-software co-simulation. To reduce complexity for hardware developers, we developed our own XML-based abstract system description language wh...

This paper proposes a new general approach based on Bayesian networks to model the human behaviour. This approach represents human behaviour with probabilistic cause-effect relations based on knowledge, but also with conditional probabilities coming either from knowledge or deduced from observations. This approach has been applied to the co-simulation of the CO2 concentration in an office coupl...

Occupant behavior has a significant impact on building energy performance. The purpose of this paper is to quantify the stochastic characteristics of manual solar shades and their influence on building energy performance. A co-simulation for occupants’ stochastic control of manual solar shades was conducted and the statistic indicators (non-parameter tests and autocorrelation function) were cal...

Many models are complex systems comprised of numerous different sub models. These sub models could be subjected to different load types, i.e. long duration or short duration, which would be better treated using a different type of discretization techniques and solution algorithms [1]. This problem can be addressed by Co-simulation which is the coupling of different simulation systems that excha...

This paper describes an industrial application of a new research technology enabling the co-simulation of models in continuous time and discrete event respectively. The application concerns modeling of a conveyor system with trolleys that has tilting capabilities that can be used to compensate for high speeds in curves in order to avoid parcels falling of the trolleys. The main challenge for th...