Open-loop vs. closed-loop identification of Box-Jenkins systems in a least costly identification context

Abstract

In this paper, we compare open-loop and closed-loop prediction error identification. In particular, we determine whether open-loop or closed-loop identification is optimal in the least costly identification experiment design framework. The least costly experiment design framework is a new framework for optimal experiment design where the objective is to… (More)

5 Figures and Tables

Topics

  • Presentations referencing similar topics