• DocumentCode
    2392942
  • Title

    Fuzzy system for optical position sensing

  • Author

    Brockmann, Werner

  • fYear
    1995
  • fDate
    24-26 April 1995
  • Firstpage
    747
  • Abstract
    Most measurement applications are nothing but a functional relationship of one or more input signals to mostly one output, which is the sensory signal. Many of these functional mappings are very complicated and difficult to describe analytically, especially for sensor fusion problems. So methods are needed which are easy to handle. Fuzzy logic is a promising approach for it offers some useful characteristics. In particular, it allows to incorporate structural knowledge as well as to learn or to tune internal parameters automatically. In this paper, such a fuzzy system is introduced and used as a simple example of fusing multiple input signals. It is applied to an opto-electronic position sensor
  • Keywords
    Costs; Fuzzy neural networks; Fuzzy systems; Learning systems; Neural networks; Optical sensors; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1995. IMTC/95. Proceedings. Integrating Intelligent Instrumentation and Control., IEEE
  • Conference_Location
    Waltham, MA, USA
  • Print_ISBN
    0-7803-2615-6
  • Type

    conf

  • DOI
    10.1109/IMTC.1995.515415
  • Filename
    515415