On the optimality of binary-open-loop experiments to identify hammerstein systems


Abstract:

This paper analyzes optimal experiment design for Hammerstein models. We show that, under general conditions, open loop experiments are optimal when one constrains the system input, and also for a specific class of systems when there is a constraint on the output power. Furthermore, we analyze an experiment which uses a binary signal, and show it to be optimal when the system is in open loop. Both results use a strong notion of optimality and expressions for estimation accuracy which are non-asymptotic in model order and asymptotic in data length. We also develop a procedure to design an experiment which uses binary input signals based on semi-definite programming. ©2007 IEEE.

Año de publicación:

2007

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Optimización matemática
    • Optimización matemática
    • Control óptimo

    Áreas temáticas:

    • Ciencias de la computación