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. A polynomial method is employed to design a fixed-order controller that assigns closed-loop poles within a given region of the complex plane and that satisfies an H ∞ performance specification. The main feature of the proposed method is that it can be extended easily for control-oriented uncertainty set shaping using a standard input design approach. Consequently, the results can be extended to joint robust control/input design procedure whose controller structure and performance specifications are translated into the requirements on the input signal spectrum used in system identification. This way, model uncertainty set can be tuned for the robust control design procedure. The simulation results show the effectiveness of the proposed method.
Original language | English |
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Pages (from-to) | 648-665 |
Number of pages | 18 |
Journal | International Journal of Robust and Nonlinear Control |
Volume | 21 |
Issue number | 6 |
DOIs | |
Publication status | Published - Apr 2011 |
Externally published | Yes |
Keywords
- convex optimization
- ellipsoidal uncertainty
- identification for robust control
- optimal input design
- regional pole assignment
- robust H control