• DocumentCode
    1313015
  • Title

    Toward a Science of Cyber–Physical System Integration

  • Author

    Sztipanovits, Janos ; Koutsoukos, Xenofon ; Karsai, Gabor ; Kottenstette, Nicholas ; Antsaklis, Panos ; Gupta, Vijay ; Goodwine, Bill ; Baras, John ; Wang, Shige

  • Author_Institution
    Inst. for Software Integrated Syst., Vanderbilt Univ., Nashville, TN, USA
  • Volume
    100
  • Issue
    1
  • fYear
    2012
  • Firstpage
    29
  • Lastpage
    44
  • Abstract
    System integration is the elephant in the china store of large-scale cyber-physical system (CPS) design. It would be hard to find any other technology that is more undervalued scientifically and at the same time has bigger impact on the presence and future of engineered systems. The unique challenges in CPS integration emerge from the heterogeneity of components and interactions. This heterogeneity drives the need for modeling and analyzing cross-domain interactions among physical and computational/networking domains and demands deep understanding of the effects of heterogeneous abstraction layers in the design flow. To address the challenges of CPS integration, significant progress needs to be made toward a new science and technology foundation that is model based, precise, and predictable. This paper presents a theory of composition for heterogeneous systems focusing on stability. Specifically, the paper presents a passivity-based design approach that decouples stability from timing uncertainties caused by networking and computation. In addition, the paper describes cross-domain abstractions that provide effective solution for model-based fully automated software synthesis and high-fidelity performance analysis. The design objectives demonstrated using the techniques presented in the paper are group coordination for networked unmanned air vehicles (UAVs) and high-confidence embedded control software design for a quadrotor UAV. Open problems in the area are also discussed, including the extension of the theory of compositional design to guarantee properties beyond stability, such as safety and performance.
  • Keywords
    autonomous aerial vehicles; control engineering computing; embedded systems; mobile robots; software engineering; stability; systems analysis; Cyber-physical system integration; control engineering computing; cross-domain interaction modeling; design flow; heterogeneous abstraction layers; heterogeneous systems; high-confidence embedded control software design; high-fidelity performance analysis; large-scale CPS design; large-scale Cyber-physical system design; model-based fully automated software synthesis; networked unmanned air vehicles; passivity-based design approach; quadrotor UAV; stability; timing uncertainties; Analytical models; Complexity theory; Computational modeling; Control systems; Cyberspace; Large-scale systems; Network topology; Stability analysis; System analysis and design; Control engineering computing; embedded software; system analysis and design;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/JPROC.2011.2161529
  • Filename
    6008519