Modeling Cyber–Physical Systems

By Patricia Derler, Edward A. Lee, Alberto L. Sangiovanni-Vincentelli. Proceedings of the IEEE, 2012

775 citations recorded by the source corpus.

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.

Subfields: Hardware and Architecture, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d01a87e7119c49b8a583bf0309ab6873ce902679

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Hardware and Architecture

1. Noël Crespi
2. G. Lee
3. Roberto Minerva

In Management Science and Operations Research

1. Noël Crespi
2. G. Lee
3. Roberto Minerva
4. Parameswaran Kamalaruban
5. A. Perera

Citations in the corpus

• Applications of reinforcement learning in energy systems (2021, background): “Considering both cyber and physical interactions for control purposes using existing model-based approaches is another problem [13].”
• Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook (2020, background): “Effectivedesign of complex CPPS is also dependent on modularity [69], which in this case implies that AI modules should have clear interfaces and easily allow their composition within the CPPS, providing it with additional capabilities and functionalities as needed in a flexible way.”
• Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, methodology): “Usage of DT first grew in the manufacturing environment and later in the community of the Internet of Things (IoT) and cyber physical systems (CPSs).”