Brief Open-loop worst-case identification of nonSchur plants

Authors:
Mario Sznaier;Cecilia Mazzaro;Octavia Camps
Affiliations:
Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA;Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA;Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA
Venue:
Automatica (Journal of IFAC)
Year:
2003

Citing 2
Cited 1

Worst-case control-relevant identification

Automatica (Journal of IFAC) - Special issue on trends in system identification
A parametrization for the closed-loop identification of nonlinear time-varying systems

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A design methodology for semi-physical fuzzy models applied to the dynamic characterization of LiFePO4 batteries

Applied Soft Computing

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Abstract

This paper presents an LMI based algorithm for deterministic worst-case identification of nonSchur plants in an open-loop setting. Contrary to other approaches dealing with this problem, the proposed technique does not require prior knowledge of a stabilizing controller. The main result of the paper shows that, as the information is completed, the identified model converges, in the @?"2-induced topology, to the actual plant. Additional results include upper bounds on the worst-case identification error on the finite horizon. The usefulness of the proposed approach is illustrated with a practical example arising in the context of robust visual tracking.