Choosing between open- and closed-loop experiments in linear system identification

Abstract:

This correspondence shows that open-loop experiments are optimal for a broad class of systems when the system input is constrained. In addition, we show that, for a general class of systems, when the output power is constrained, closed-loop experiments are optimal. Both results use a strong notion of optimality and use expressions for estimation accuracy which are nonasymptotic in model order but asymptotic in data length. © 2007 IEEE.

Año de publicación:

2007

Keywords:

• Input design
• Closed-loop systems
• identification

Fuente:

scopus