Hybrid System Model Simulation Framework for Cyber-Physical Systems

2011 ◽  
Vol 110-116 ◽  
pp. 4043-4049
Author(s):  
Soo Young Moon ◽  
Hyuk Park ◽  
Tae Ho Cho ◽  
Won Tae Kim
Keyword(s):  
Hybrid System ◽  
Fuzzy Inference ◽  
Model Simulation ◽  
Discrete Event ◽  
Cyber Physical Systems ◽  
System Specification ◽  
Simulation Framework ◽  
Physical Systems ◽  
Event Time ◽  
Ode Models

Most of existing frameworks for modeling and simulation of hybrid systems represent continuous behavior of systems using ordinary differential equations (ODEs). ODE models can be represented as discrete event system specification (DEVS) models through discretization and simulated in the DEVS simulation framework. However, in cyber-physical systems (CPS), it is difficult to represent the continuous behavior of a system using an ODE because it can have unknown, unpredictable variables. In that case, it is needed to predict the model’s next event time by inference to embed the model in a DEVS model. We propose the simulation framework in which a fuzzy inference module is added to each simulation model to determine its next event time. The proposed method enables simulation of hybrid system models which can or cannot be represented using an ODE.

scholarly journals Co-simulation of cyber-physical systems using a DEVS wrapping strategy in the MECSYCO middleware

SIMULATION ◽  
2018 ◽  
Vol 94 (12) ◽  
pp. 1099-1127 ◽  
Author(s):  
Benjamin Camus ◽  
Thomas Paris ◽  
Julien Vaubourg ◽  
Yannick Presse ◽  
Christine Bourjot ◽  
...  
Keyword(s):  
Discrete Event ◽  
Cyber Physical Systems ◽  
Simulation Software ◽  
Proof Of Concept ◽  
System Specification ◽  
Physical Systems ◽  
Simulation Engine ◽  
Rigorous Framework ◽  
Multi Agent ◽  
Scientific Fields

Most modeling and simulation (M&S) questions about cyber-physical systems (CPSs) require expert skills belonging to different scientific fields. The challenges are then to integrate each domain’s tools (formalism and simulation software) within the rigorous framework of M&S process. To answer this issue, we give the specifications of the Multi-agent Environment for Complex-SYstem CO-simulation (MECSYCO) middleware which enables to interconnect several pre-existing and heterogeneous M&S tools, so they can simulate a whole CPS together. The middleware performs the co-simulation in a parallel, decentralized, and distributable fashion thanks to its modular multi-agent architecture. In order to rigorously integrate tools that use different formalisms, the co-simulation engine of MECSYCO is based on the discrete event system specification (DEVS). The central idea of MECSYCO is to use a DEVS wrapping strategy to integrate each tool into the middleware. Thus, heterogeneous tools can be homogeneously co-simulated in the form of a DEVS system. By using DEVS, MECSYCO benefits from the numerous scientific works which have demonstrated the integrative power of this formalism and give crucial guidelines to rigorously design wrappers. We demonstrate that our discrete framework can integrate a vast amount of continuous M&S tools by wrapping the Functional Mockup Interface (FMI) standard. To this end, we take advantage of DEVS efforts of the literature (namely, the DEV&DESS hybrid formalism and Quantized State System (QSS) solvers) to design DEVS wrappers for Functional Mockup Unit (FMU) components. As a side-effect, this wrapping is not restricted to MECSYCO but can be applied in any DEVS-based platform. We evaluate MECSYCO with the proof of concept of a smart heating use case, where we co-simulate non-DEVS-centric M&S tools.

Applying a Methodology in Data Transmission of Discrete Events From the Perspective of Cyber-Physical Systems Environments

2021 ◽  
pp. 278-300
Author(s):  
Reinaldo Padilha França ◽  
Yuzo Iano ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur
Keyword(s):  
Data Transmission ◽  
Computer Systems ◽  
Discrete Event ◽  
Cyber Physical Systems ◽  
Discrete Events ◽  
Memory Consumption ◽  
Physical Systems ◽  
Computational Performance ◽  
The World ◽  
Memory Utilization

Most of the decisions taken in and around the world are based on data and information. Therefore, the chapter aims to develop a method of data transmission based on discrete event concepts, being such methodology named CBEDE, and using the MATLAB software, where the memory consumption of the proposal was evaluated, presenting great potential to intermediate users and computer systems, within an environment and scenario with cyber-physical systems ensuring more speed, transmission fluency, in the same way as low memory consumption, resulting in reliability. With the differential of this research, the results show better computational performance related to memory utilization with respect to the compression of the information, showing an improvement reaching 95.86%.

Current Drivers and Obstacles of Synergy in Cyber-Physical Systems Design

2012 ◽  
Author(s):  
Bart H. M. Gerritsen ◽  
Imre Horváth
Keyword(s):  
Systems Design ◽  
Cyber Physical Systems ◽  
System Specification ◽  
Physical Systems ◽  
Model Driven ◽  
Autonomous Operation ◽  
Driven System ◽  
Geographically Distributed ◽  
The Individual ◽  
Operational Aspects

The level of synergy is a quality measure of the cooperative actions of the components of cyber physical systems (CPSs). Our current research informed us that the phenomenon of synergy has not been understood sufficiently yet, and that there are many, even competing, views on how to interpret and operationalize it in CPSs. We can talk about synergy when the functionally and geographically distributed dissimilar system components work in concert together and create a system behavior/performance that is of higher value than the total of the individual components is. Towards synergy, unification and interoperation principles need to be considered both in design and in implementation of CPSs. In this paper, we elaborate on the various aspects of synergy, and critically analyze its drivers and obstacles. Our analysis extended to ontological, epistemological, methodological, manifestation and operational aspects of synergy. It has been found that emergence of truly synergic technologies, proliferation of sophisticated abstraction models, model-driven system specification, and platform-based function realization are the most important drivers of synergy. On the other hand, the different mental models and vocabularies, the lack of multi-level informatics, the limitations in handling non-hierarchical complexities, managing emergent intelligence and autonomous operation, and the premature state of informing science have been identified as the major obstacles. The paper makes a proposal for enhanced synergy by taking the advantage of the affordances and reducing the effects of the obstacles. The results of the critical analysis are design principles that can be used to increase the level of synergy of CPSs.

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