کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
696156 890326 2013 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of dynamic models in complex networks with prediction error methods—Basic methods for consistent module estimates
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Identification of dynamic models in complex networks with prediction error methods—Basic methods for consistent module estimates
چکیده انگلیسی

The problem of identifying dynamical models on the basis of measurement data is usually considered in a classical open-loop or closed-loop setting. In this paper, this problem is generalized to dynamical systems that operate in a complex interconnection structure and the objective is to consistently identify the dynamics of a particular module in the network. For a known interconnection structure it is shown that the classical prediction error methods for closed-loop identification can be generalized to provide consistent model estimates, under specified experimental circumstances. Two classes of methods considered in this paper are the direct method and the joint-IO method that rely on consistent noise models, and indirect methods that rely on external excitation signals like two-stage and IV methods. Graph theoretical tools are presented to verify the topological conditions under which the several methods lead to consistent module estimates.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automatica - Volume 49, Issue 10, October 2013, Pages 2994–3006
نویسندگان
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