scholarly journals SimSoC: A Fast, Proven Faithful, Full System Virtual Prototyping Framework

2016 ◽  
pp. 129-156
Author(s):  
Vania Joloboff ◽  
Jean-Francois Monin ◽  
Xiaomu Shi
Keyword(s):  
Virtual Prototyping ◽  
Full System

scholarly journals Distributed Co-simulation of Maritime Systems and Operations

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Severin Sadjina ◽  
Lars Tandle Kyllingstad ◽  
Martin Rindarøy ◽  
Stian Skjong ◽  
Vilmar Æsøy ◽  
...  
Keyword(s):  
Best Practices ◽  
Performance Studies ◽  
System Simulation ◽  
Virtual Prototyping ◽  
Simulation Software ◽  
Model Coupling ◽  
Full System ◽  
Reusable Component ◽  
And Performance ◽  
High Level

Here, we present the concept of an open virtual prototyping framework (VPF) for maritime systems and operations that enables its users to develop reusable component or subsystem models, and combine them in full-system simulations for prototyping, verification, training, and performance studies. This framework consists of a set of guidelines for model coupling, high-level and low-level coupling interfaces to guarantee interoperability, a full-system simulation software, and example models and demonstrators. We discuss the requirements for such a framework, address the challenges and the possibilities in fulfilling them, and aim to give a list of best practices for modular and efficient virtual prototyping and full-system simulation. The context of our work is within maritime systems and operations, but the issues and solutions we present here are general enough to be of interest to a much broader audience, both industrial and scientific.

VIRTUAL PROTOTYPING OF A SPRAYING ROBOTIC SYSTEM

2011 ◽  
Vol 10 (8) ◽  
pp. 1197-1205 ◽  
Author(s):  
Monica Enescu ◽  
Catalin Alexandru
Keyword(s):  
Virtual Prototyping ◽  
Robotic System

scholarly journals SiCaSMA: An Alternative Stochastic Description via Concatenation of Markov Processes for a Class of Catalytic Systems

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1074
Author(s):  
Vincent Wagner ◽  
Nicole Erika Radde
Keyword(s):  
Reaction System ◽  
Stochastic Simulation Algorithm ◽  
Test Bed ◽  
Biochemical Reaction Networks ◽  
Full System ◽  
Catalytic Systems ◽  
Reaction Systems ◽  
Sample Paths ◽  
Alternative Description ◽  
Linear Differential

The Chemical Master Equation is a standard approach to model biochemical reaction networks. It consists of a system of linear differential equations, in which each state corresponds to a possible configuration of the reaction system, and the solution describes a time-dependent probability distribution over all configurations. The Stochastic Simulation Algorithm (SSA) is a method to simulate sample paths from this stochastic process. Both approaches are only applicable for small systems, characterized by few reactions and small numbers of molecules. For larger systems, the CME is computationally intractable due to a large number of possible configurations, and the SSA suffers from large reaction propensities. In our study, we focus on catalytic reaction systems, in which substrates are converted by catalytic molecules. We present an alternative description of these systems, called SiCaSMA, in which the full system is subdivided into smaller subsystems with one catalyst molecule each. These single catalyst subsystems can be analyzed individually, and their solutions are concatenated to give the solution of the full system. We show the validity of our approach by applying it to two test-bed reaction systems, a reversible switch of a molecule and methyltransferase-mediated DNA methylation.

Fast Virtual Prototyping of Cyber-Physical Systems using SystemC and FMI

2019 ◽  
Author(s):  
Salah Eddine Saidi ◽  
Amir Charif ◽  
Tanguy Sassolas ◽  
Pierre-Guillaume Le Guay ◽  
Henrique Vicente Souza ◽  
...  
Keyword(s):  
Virtual Prototyping ◽  
Cyber Physical Systems ◽  
Physical Systems
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