• DocumentCode
    3286654
  • Title

    Peak-seeking control using gradient and Hessian estimates

  • Author

    Ryan, J.J. ; Speyer, J.L.

  • Author_Institution
    NASA DFRC, UCLA, Los Angeles, CA, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    611
  • Lastpage
    616
  • Abstract
    A peak-seeking control method is presented which utilizes a linear time-varying Kalman filter. Performance function coordinate and magnitude measurements are used by the Kalman filter to estimate the gradient and Hessian of the performance function. The gradient and Hessian are used to command the system toward a local extremum. The method is naturally applied to multiple-input multiple-output systems. Applications of this technique to a single-input single-output example and a two-input one-output example are presented.
  • Keywords
    Hessian matrices; Kalman filters; MIMO systems; gradient methods; linear systems; optimisation; time-varying systems; Hessian estimates; gradient estimates; linear time varying Kalman filter; local extremum; multiple input multiple output systems; peak seeking control; Actuators; Adaptive control; Control systems; Coordinate measuring machines; Displays; Filters; MIMO; Nonlinear control systems; Observability; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531081
  • Filename
    5531081