Robust Identification for an ARX Model Using Beta Divergence

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Rbf-arx Model-based Robust Mpc for Nonlinear Systems

An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems. First, the nonlinear system is identified off-line by a RBF-ARX model possessing linear ARX model structure and state-dependent Gaussian RBF neural network type coefficients. On the basis of the RBF-ARX model, a combination of a local linearization model and a polytopic uncert...

متن کامل

Robust Blind Source Separation by Beta Divergence

Blind source separation is aimed at recovering original independent signals when their linear mixtures are observed. Various methods for estimating a recovering matrix have been proposed and applied to data in many fields, such as biological signal processing, communication engineering, and financial market data analysis. One problem these methods have is that they are often too sensitive to ou...

متن کامل

Robust Spatial Filtering with Beta Divergence

The goal of our method is to find a projection V ∈ RD×d to a subspace of dimensionality d < D that maximizes a sum of divergences. Following [1] we decompose the projection into three parts, namely V> = IdRP where Id is an identity matrix truncated to the first d rows, R is a rotation matrix with RR> = I and P is the whitening matrix that projects the data onto an unit sphere. The optimization ...

متن کامل

Hierarchical Bayesian ARX models for robust inference

Gaussian innovations are the typical choice in most ARX models but using other distributions such as the Student’s t could be useful. We demonstrate that this choice of distribution for the innovations provides an increased robustness to data anomalies, such as outliers and missing observations. We consider these models in a Bayesian setting and perform inference using numerical procedures base...

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: Transactions of the Society of Instrument and Control Engineers

سال: 2017

ISSN: 0453-4654,1883-8189

DOI: 10.9746/sicetr.53.618