Comparison of the closed-loop identification methods in terms of the bias distribution

✍ Scribed by Alireza Karimi; Ioan Doré Landau

• Publisher: Elsevier Science
• Year: 1998
• Tongue: English
• Weight: 126 KB
• Volume: 34
• Category: Article
• ISSN: 0167-6911
• DOI: 10.1016/s0167-6911(97)00137-0

✦ Synopsis

Several schemes for plant model identiÿcation in closed-loop operation including classical direct method, two-step identiÿcation and closed-loop output error algorithms are considered. These methods are analyzed and compared in terms of the bias distribution of the estimates for the case that the noise model is estimated as well as the case that a ÿxed model of noise is considered (output error structure). The problems concerning the ÿltered direct method which is often used in the iterative identiÿcation and control scheme are mentioned. It is shown that these problems may be solved by the closed-loop output error identiÿcation method.