• DocumentCode
    1063092
  • Title

    Convex relaxations in circuits, systems, and control

  • Author

    Garulli, Andrea ; Vicino, Antonio

  • Author_Institution
    Dipt. di Ing. dell´´Inf., Univ. di Siena, Siena
  • Volume
    9
  • Issue
    2
  • fYear
    2009
  • Firstpage
    46
  • Lastpage
    56
  • Abstract
    It is well known that a large variety of systems and control problems can be formulated as optimization problems. The classical approach pursued in typical contexts is to look for a closed form solution to the specific optimization problem at hand. The last decade has seen a noticeable shift in the meaning of "closed form" solution. The formidable increase of computational power has dramatically changed the feeling of theoreticians as well as of practitioners about what is meant by "tractable" and "untractable" problems. One of the main issues is convexity. While from a mathematical viewpoint there has been a large amount of work in the direction of "convexi- fying" nonconvex problems and studying structural features of convex problems, considerable advances on techniques for recognizing convexity and algorithms for solving convex problems have been made mainly in the last 15 years.
  • Keywords
    circuit analysis computing; control theory; optimisation; SOS-based convex relaxations; circuit analysis; control theory; dynamic system; nonconvex optimization problem; polynomial optimization problem; sum of squares;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1531-636X
  • Type

    jour

  • DOI
    10.1109/MCAS.2008.931737
  • Filename
    5067401