• DocumentCode
    1047666
  • Title

    Passivity and Optimal Control of Descriptor Biological Complex Systems

  • Author

    Liu, Peiyong ; Zhang, QingLing ; Yang, Xiaoguang ; Yang, Li

  • Author_Institution
    Northeastern Univ., Shenyang
  • Volume
    53
  • fYear
    2008
  • Firstpage
    122
  • Lastpage
    125
  • Abstract
    Accurate mathematical models, to describe and analyze complex systems, cannot be established. This is especially true for biological complex systems because of the complexity of interaction among constituent units inside the whole system. Descriptor biological complex systems are a new research field in descriptor systems; there has been little research about passivity and optimal control of descriptor biological complex systems. Passivity analysis and feedback controller design of the system offers an important basis for the research of descriptor system theory applied to biological complex systems. In this paper, a poly-chamber model of the endocrine disruptor - Diethylstibestrol - moving in a human body is developed based on physiological rules. Passivity of this model is described and proved systematically. A feedback controller for this descriptor biological complex system is designed under the station of strict passivity, and an example of the controller is given for a particular instantiation of the model.
  • Keywords
    biocontrol; feedback; large-scale systems; optimal control; descriptor biological complex systems; diethylstibestrol; endocrine disruptor; feedback controller; optimal control; passivity analysis; polychamber model; Adaptive control; Biological control systems; Biological system modeling; Control system analysis; Earth; Endocrine system; Humans; Mathematical model; Mathematics; Optimal control; Biological complexity system; descriptor system; optimal control; passivity;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2007.911341
  • Filename
    4439817