On useful redundancy in experiment design for nonlinear system identification

In the paper, a formulation is proposed for optimal experiment design dedicated to the identification of nonlinear systems. In particular, a recently mentioned 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.

• Type: Conference
• Year: 2008
• Where: CDC
• Authors: Mazen Alamir, James S. Welsh, Graham C. Goodwin
• Keywords: CDC 2008, Control Systems, Discrete-time Nonlinear Systems, Nonlinear Systems, Systems Related Inverse