• DocumentCode
    1802767
  • Title

    Vector optimal smoothing spline curves with constraints

  • Author

    Fujioka, Hiroyuki ; Kano, Hiroyuki

  • Author_Institution
    Dept. of Syst. Manage., Fukuoka Inst. of Technol., Fukuoka, Japan
  • fYear
    2011
  • fDate
    28-30 Sept. 2011
  • Firstpage
    438
  • Lastpage
    443
  • Abstract
    In this paper, we consider the problem of designing optimal smoothing vectorized spline curves with equality and/or inequality constraints. The constraints include cross-coupled constraints among the element curves. The splines are constituted employing normalized uniform B-splines as the basis functions. Then various types of constraints are formulated as linear function of the so-called control points, and the problem is reduced to convex quadratic programming problem. The performance is examined by some numerical examples.
  • Keywords
    convex programming; quadratic programming; smoothing methods; splines (mathematics); convex quadratic programming problem; cross-coupled constraint; element curves; equality constraints; inequality constraints; linear function; normalized uniform B-splines; vector optimal smoothing spline curves; Design methodology; Planning; Polynomials; Smoothing methods; Spline; Trajectory; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Control System Design (CACSD), 2011 IEEE International Symposium on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4577-1066-7
  • Electronic_ISBN
    978-1-4577-1067-4
  • Type

    conf

  • DOI
    10.1109/CACSD.2011.6044557
  • Filename
    6044557