• DocumentCode
    3608100
  • Title

    Cyber-physical systems as general distributed parameter systems: three types of fractional order models and emerging research opportunities

  • Author

    Fudong Ge ; YangQuan Chen ; Chunhai Kou

  • Author_Institution
    Coll. of Inf. Sci. & Technol, Donghua Univ., Shanghai, China
  • Volume
    2
  • Issue
    4
  • fYear
    2015
  • Firstpage
    353
  • Lastpage
    357
  • Abstract
    Cyber-physical systems (CPSs) are man-made complex systems coupled with natural processes that, as a whole, should be described by distributed parameter systems (DPSs) in general forms. This paper presents three such general models for generalized DPSs that can be used to characterize complex CPSs. These three different types of fractional operators based DPS models are: fractional Laplacian operator, fractional power of operator or fractional derivative. This research investigation is motivated by many fractional order models describing natural, physical, and anomalous phenomena, such as sub-diffusion process or super-diffusion process. The relationships among these three different operators are explored and explained. Several potential future research opportunities are then articulated followed by some conclusions and remarks.
  • Keywords
    distributed parameter systems; large-scale systems; mathematical programming; CPS; DPS; cyber-physical systems; fractional Laplacian operator; fractional derivative; fractional order models; fractional power of operator; general distributed parameter systems; man-made complex systems; research opportunities; Actuators; Cyber-physical systems; Differential equations; Distributed parameter systems; Laplace equations; Mathematical model; Sensors; Cyber-physical systems (CPSs); fractional Laplacian operator; fractional derivative; fractional power of operator; generalized distributed parameter systems (DPSs);
  • fLanguage
    English
  • Journal_Title
    Automatica Sinica, IEEE/CAA Journal of
  • Publisher
    ieee
  • ISSN
    2329-9266
  • Type

    jour

  • Filename
    7296529