• DocumentCode
    1746912
  • Title

    Evolutionary mechanisms for smart on-board adaptive sensing applied to the MECA electrometer

  • Author

    Keymeulen, Didier ; Stoica, Adrian ; Buehler, Martin ; Zebulum, Ricardo ; Duong, Vu

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2309
  • Abstract
    In-situ exploration as required for example by missions to comets and planets with unknown environmental conditions, has recently been approached with new ideas, such as the use of biology-inspired mechanisms for hardware sensor adaptation. The application of evolution-inspired formalisms to hardware design and self-configuration lead to the concept of evolvable hardware (EHW). EHW refers to self reconfiguration of electronic hardware by evolutionary/genetic reconfiguration mechanisms. In this paper we describe the initial development of efficient mechanisms for smart on-board adaptive sensing, adaptively controlling the reconfigurable pre-processing analog electronics using evolvable hardware, which will lead to higher quality, lean data
  • Keywords
    adaptive systems; analogue processing circuits; biocomputing; genetic algorithms; intelligent sensors; reconfigurable architectures; space vehicle electronics; MECA electrometer; biology-inspired mechanisms; evolutionary/genetic reconfiguration; in-situ exploration; reconfigurable pre-processing analog electronics; self-configuration; smart on-board adaptive sensing; smart on-board adaptive sensing a; Adaptive arrays; Adaptive control; Electronic circuits; Evolutionary computation; Hardware; Intelligent sensors; Programmable control; Propulsion; Sensor arrays; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2001, IEEE Proceedings.
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    0-7803-6599-2
  • Type

    conf

  • DOI
    10.1109/AERO.2001.931191
  • Filename
    931191