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 language | English |
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Pages (from-to) | 1639-1659 |
Number of pages | 21 |
Journal | International Journal of Robust and Nonlinear Control |
Volume | 29 |
Issue number | 6 |
DOIs | |
State | Published - 1 Apr 2019 |
Keywords
- homogeneous polynomial Lyapunov functions (HPLF)
- polynomial fuzzy models
- static output feedback (SOF)
- sum of squares (SOS)