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.
47th IEEE Conference on Decision and Control (CDC 2008). Proceedings of the 47th IEEE Conference on Decision and Control (Cancun, Mexico 9-11 December, 2008) p. 5494-5499