Data Informativity for the Closed-Loop Identification of MISO ARX Systems

نویسندگان

چکیده

In the Prediction Error identification framework, it is crucial that collected data are informative with respect to chosen model structure get a consistent estimate. this work, we focus on informativity property for of multi-inputs single-output ARX systems in closed-loop and derive necessary sufficient condition verify if given multisine external excitation combined feedback introduced by controller yields structure.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bounded-error identification for closed-loop systems

This paper presents a scheme for the identification of a system which operates in closed-loop and in the presence of bounded output disturbances. Two algorithms are proposed to solve this identification problem. The first algorithm is an Optimal Bounding Ellipsoid (OBE) type algorithm. This first algorithm is analyzed and sufficient conditions for stability and convergence are established. Rela...

متن کامل

Closed Loop Identification of Nonlinear Systems 1

In recent years, several new methods for the identiication of approximate models of an open loop plant on the basis of closed loop data have been presented. In this paper, we extend two of these methods to the nonlinear case: we consider that both the plant and the controller can be nonlinear. The rst method is a two-step procedure. The sensitivity function of the closed loop system is identiie...

متن کامل

Subspace identification from closed loop data

So called subspace methods for direct identiication of linear models in state space form have drawn considerable interest recently. They have been found to work well in many cases but have one drawback { they do not yield consistent estimates for data collected under output feedback. This contribution points to the reasons for this and also shows how to modify the basic algorithm to handle clos...

متن کامل

Subspace Identification using Closed-Loop Data

The purpose of this thesis was to investigate how different subspace identification methods cope with closed loop data, and how the controller parameters affect the quality of the acquired models. Three different subspace methods were subject for investigation; the MOESPmethod, theN4SIDmethod and theDSR_emethod. It is shown through a simulation example that all three subspace methods will ident...

متن کامل

A virtual closed loop method for closed loop identification

Indirect methods for identification of linear plant models on the basis of closed-loop data are based on the use of (reconstructed) input signals that are uncorrelated with the noise. This generally requires exact (linear) controller knowledge. On the other hand, direct identification requires exact plant and noise modelling (system in the model set) in order to achieve accurate results, althou...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IFAC-PapersOnLine

سال: 2021

ISSN: ['2405-8963', '2405-8971']

DOI: https://doi.org/10.1016/j.ifacol.2021.08.456