DEVS framework for modelling, simulation, analysis, and design of hybrid systems

Zeigler, Bernard P.; Song, Hae Sang; Kim, Tag Gon; Praehofer, Herbert

doi:10.1007/3-540-60472-3_27

Cited by 35 publications

(51 citation statements)

References 7 publications

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“…Camus et al [12] present a Discrete EVent System Specification (DEVS) [13] wrapper for hybrid co-simulation with FMI. Their approach is, instead of augmenting FMI with the capability to handle discrete events, to leverage an execution engine based on the DEV&DESS hybrid system formalism (which interfaces DEVS with the Differential Equation System Specification) and co-simulate FMUs with other components.…”

Section: E Related Workmentioning

confidence: 99%

Step revision in hybrid Co-simulation with FMI

Cremona

Lohstroh

Broman

et al. 2016

2016 ACM/IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)

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This paper presents a master algorithm for co-simulation of hybrid systems using the Functional Mock-up Interface (FMI) standard. Our algorithm introduces step revision to achieve an accurate and precise handling of mixtures of continuous-time and discrete-event signals, particularly in the situation where components are unable to accurately extrapolate their input. Step revision provides an efficient means to respect the error bounds of numerical approximation algorithms that operate inside co-simulated FMUs. We first explain the most fundamental issues associated with hybrid co-simulation and analyze them in the framework of FMI. We demonstrate the necessity for step revision to address some of these issues and formally describe a master algorithm that supports it. Finally, we present experimental results obtained through our reference implementation that is part of our publicly available open-source toolchain called FIDE

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Section: E Related Workmentioning

confidence: 99%

Step revision in hybrid Co-simulation with FMI

Cremona

Lohstroh

Broman

et al. 2016

2016 ACM/IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)

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“…Graph-based notations have the advantage of allowing the user to think about the problem in a more abstract way. Therefore, we have used an extended graphs to allow the user define atomic models behavior [17].…”

Section: Graphical Definition Of Atomic Modelsmentioning

confidence: 99%

CD++: a toolkit to develop DEVS models

2002

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Summary: the features of a toolkit for modeling and simulation based on the DEVS formalism are presented. The tool is built as a set of independent software pieces running in different platforms. Not only the main characteristics of the environment are presented, but also focus in its use is considered by inclusion of application examples for a variety of problems. Many models can be defined in an automated fashion, simplifying the construction of new models, and easing their verification. The use of this formal approach allowed developing safe and costeffective simulations, reducing significantly development time.

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“…This application can be used to create atomic or coupled models that can be executed by the CD++ simulator. The basic functions of the Modeler include creating atomic models using DEVS graphs [40], and coupled models using directed graphs [2]. The Modeler also includes a text editor to write and modify Cell-DEVS models and to run the simulation engine locally or remotely.…”

Section: User Visualization Environmentmentioning

confidence: 99%

A Framework for Remote Execution and Visualization of Cell-DEVS Models

Wainer

Chena

2003

SIMULATION

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Simulation is becoming increasingly important in the analysis and design of complex systems with natural and artificial components. CD++ is a modeling and simulation tool that was created to study this kind of systems by using a discreteevent cell-based approach. It was successfully employed to define a variety of models for complex applications using a cell-based approach. Here, we present different extensions done to the tool using a client/server architecture. Users can create models in local workstations, execute them in a remote high performance simulation engine, then receive, visualize and analyze the results locally with easy-to-use 2D and 3D interfaces. The 3D interface was built using VRML in order to facilitate web-based visualization. The tool now enables running several models simultaneously, and it supports multiview outputs.

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DEVS framework for modelling, simulation, analysis, and design of hybrid systems

Cited by 35 publications

References 7 publications

Step revision in hybrid Co-simulation with FMI

Step revision in hybrid Co-simulation with FMI

CD++: a toolkit to develop DEVS models

A Framework for Remote Execution and Visualization of Cell-DEVS Models

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