Identification and robust control for systems with ellipsoidal parametric uncertainty by convex optimization

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12 Citations (Scopus)

Abstract

In this paper, sufficient conditions for robust output feedback controller design for systems with ellipsoidal parametric uncertainty are given in terms of solutions to a set of linear matrix inequalities (LMIs) Performance specifications are in terms of combined pole placement with sensitivity function shaping in the H 2 or H norm. Furthermore, an optimal input design technique for parameter estimation that is integrated into the robust control design is employed in this paper. This means that performance specifications on the closed-loop transfer functions are translated into the requirements on the input signal spectrum. The simulation results show the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1251-1261
Number of pages11
JournalAsian Journal of Control
Volume14
Issue number5
DOIs
Publication statusPublished - 1 Sep 2012
Externally publishedYes

Keywords

  • control-oriented identification
  • convex optimization
  • Identification for robust control
  • optimal input design

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