Polynomial static output feedback H control via homogeneous Lyapunov functions

Ji Chang Lo, Jung Wei Liu

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

In this paper, we study a polynomial static output feedback (SOF) stabilization problem with H performance via a homogeneous polynomial Lyapunov function (HPLF). It is shown that the quadratic stability ascertaining the existence of a single constant Lyapunov function becomes a special case. With the HPLF, the proposal is based on a relaxed two-step sum of square (SOS) construction where a stabilizing polynomial state feedback gain K(x) is returned at the first stage and then the obtained K(x) gain is fed back to the second stage, achieving the SOF closed-loop stabilization of the underlying polynomial fuzzy control systems. The SOS equations obtained thus effectively serve as a sufficient condition for synthesizing the SOF controllers that guarantee polynomial fuzzy systems stabilization. To demonstrate the effectiveness of the proposed polynomial fuzzy SOF H control, benchmark examples are provided for the new approach.

Original languageEnglish
Pages (from-to)1639-1659
Number of pages21
JournalInternational Journal of Robust and Nonlinear Control
Volume29
Issue number6
DOIs
StatePublished - 1 Apr 2019

Keywords

  • homogeneous polynomial Lyapunov functions (HPLF)
  • polynomial fuzzy models
  • static output feedback (SOF)
  • sum of squares (SOS)

Fingerprint

Dive into the research topics of 'Polynomial static output feedback H control via homogeneous Lyapunov functions'. Together they form a unique fingerprint.

Cite this