Brief A parametric optimization approach to H∞ and H2 strong stabilization

  • Authors:
  • Daniel U. Campos-Delgado;Kemin Zhou

  • Affiliations:
  • Facultad de Ciencias (UASLP), Av. Salvador Nava s/n, Zona Universitaria, C.P. 78290, S.L.P., Mexico;Department of Electrical and Computer Engineering, Louisiana State University, 102 S. Campus Drive, Baton Rouge, LA 70803, USA

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2003

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Abstract

This paper presents an approach for designing stable MIMO H"~ and H"2 controllers by directly computing the norm-constrained stable transfer matrices Q in the H"~ and H"2 suboptimal controller parameterizations. This is done by first converting the H"2 and H"~ strong stabilization problems into some nonlinear unconstrained optimization problems through explicit parameterization of the norm-constrained Q's for any fixed order. Then, a two-stage numerical search is carried out by using a combination of a genetic algorithm and a quasi-Newton algorithm in order to reach an optimal solution. The effectiveness of the proposed algorithms is illustrated through some benchmark numerical examples.