• DocumentCode
    894806
  • Title

    Nonlinear control synthesis by convex optimization

  • Author

    Prajna, Stephen ; Parrilo, Pablo A. ; Rantzer, Anders

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • Volume
    49
  • Issue
    2
  • fYear
    2004
  • Firstpage
    310
  • Lastpage
    314
  • Abstract
    A stability criterion for nonlinear systems, recently derived by the third author, can be viewed as a dual to Lyapunov´s second theorem. The criterion is stated in terms of a function which can be interpreted as the stationary density of a substance that is generated all over the state-space and flows along the system trajectories toward the equilibrium. The new criterion has a remarkable convexity property, which in this note is used for controller synthesis via convex optimization. Recent numerical methods for verification of positivity of multivariate polynomials based on sum of squares decompositions are used.
  • Keywords
    control system analysis; control system synthesis; convergence; convex programming; nonlinear control systems; polynomials; relaxation theory; stability; state-space methods; convex optimization; convexity property; multivariate polynomials; nonlinear control synthesis; semidefinite programming relaxation; stability criterion; state-space methods; stationary substance density; sum of squares decompositions; system trajectories; Automatic control; Control system synthesis; Functional programming; Linear matrix inequalities; Lyapunov method; Nonlinear control systems; Nonlinear systems; Optimization methods; Polynomials; Stability criteria;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2003.823000
  • Filename
    1266794