Modeling Cyber–Physical Systems
Моделирование киберфизических систем
2011-08-25
SCID: 54.1/dsqwrgsd
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aircraft vehicle management systemconcurrent and heterogeneous models of computationcyber–physical systemsdomain-specific ontologiesfuel management subsystemhybrid system modeling and simulationjoint modeling of functionality and implementation architectures
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Abstract (AI)
This paper focuses on the challenges of modeling cyber–physical systems (CPSs) that arise from the intrinsic heterogeneity, concurrency, and sensitivity to timing of such systems. It uses a portion of an aircraft vehicle management system (VMS), specifically the fuel management subsystem, to illustrate the challenges, and then discusses technologies that at least partially address the challenges. Specific technologies described include hybrid system modeling and simulation, concurrent and heterogeneous models of computation, the use of domain-specific ontologies to enhance modularity, and the joint modeling of functionality and implementation architectures.
Key Findings
1
A fuel management subsystem of an aircraft vehicle management system (VMS) exemplifies practical modeling challenges for CPSs.
2
Concurrent and heterogeneous models of computation mitigate issues arising from concurrency and multiple formalisms in CPSs.
3
Domain-specific ontologies enhance modularity in CPS models.
4
Hybrid system modeling and simulation helps address CPS challenges involving continuous and discrete dynamics.
5
Joint modeling of functionality and implementation architectures aids in managing CPS complexity.
6
Modeling CPSs is challenging due to intrinsic heterogeneity, concurrency, and sensitivity to timing.
Research Object
Cyber–physical systems (illustrated by an aircraft vehicle management system fuel management subsystem)
Research Subject
Modeling challenges and approaches for CPSs: handling heterogeneity, concurrency, timing sensitivity, and joint modeling of functionality and implementation using hybrid system models, heterogeneous models of computation, and domain-specific ontologies
Publication Details
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2011-08-25
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