• DocumentCode
    2620878
  • Title

    Locating a Circular Biochemical Source: Modeling and Control

  • Author

    Tzanos, Panos ; Zefran, Milos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Chicago, IL
  • fYear
    2007
  • fDate
    10-14 April 2007
  • Firstpage
    523
  • Lastpage
    528
  • Abstract
    This paper applies the modified Fisher information matrix (FIM) motion algorithm previously proposed by the authors to the task of locating a circular biochemical source. We develop the diffusion model for a circular source and perform control theoretic analysis of the resulting FIM motion algorithm. While in our previous work we established that the source location is an equilibrium point of the system, in the present paper we show that due to the consistency of the maximum likelihood (ML) estimator, the equilibrium point is unique. Simulations are presented that compare our motion algorithm to conventional concentration gradient motion algorithms. The simulations confirm that by using our motion algorithm, the circular biochemical source is located with a high degree of accuracy.
  • Keywords
    biochemistry; chemical variables measurement; diffusion; gradient methods; maximum likelihood estimation; Fisher information matrix motion algorithm; circular biochemical source; control theoretic analysis; diffusion model; gradient motion algorithm; maximum likelihood estimation; system equilibrium; Algorithm design and analysis; Biosensors; Chemical and biological sensors; Landmine detection; Maximum likelihood estimation; Monitoring; Motion control; Position measurement; Sensor phenomena and characterization; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2007 IEEE International Conference on
  • Conference_Location
    Roma
  • ISSN
    1050-4729
  • Print_ISBN
    1-4244-0601-3
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2007.363839
  • Filename
    4209144