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On useful redundancy in experiment design for nonlinear system identification

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3 Author(s)
Mazen Alamir ; Gipsa-lab, CNRS, University of Grenoble. BP 46, Domaine Universitaire, ST Martin d¿Hères, France ; James S. Welsh ; Graham C. Goodwin

In the paper, a formulation is proposed for optimal experiment design dedicated to the identification of nonlinear systems. In particular, a recently introduced redundancy property associated to dynamic systems related inverse problems is heavily exploited to guarantee global convergence. The paper considers general discrete-time nonlinear systems in which measurements are affected by bounded noise. An illustrative example is used to show the merits of the proposed approach.

Published in:

Decision and Control, 2008. CDC 2008. 47th IEEE Conference on

Date of Conference:

9-11 Dec. 2008