Discussion: ‘On the Use of Minimal Parametrisations in Multivariable ARMAX Identification’ by R. P. Guidorzi-Reference-Cited by-同舟云学术

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Discussion: ‘On the Use of Minimal Parametrisations in Multivariable ARMAX Identification’ by R. P. Guidorzi

Published:1998-01 Issue:2 Volume:4 Page:93-98
ISSN:0947-3580
Container-title:European Journal of Control
language:en
Short-container-title:European Journal of Control

Author:

McKelvey T.,Guidorzi R.

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. Numerical Methods for Unconstrained Optimisation and Nonlinear Equations;Dennis,1983

2. Matrix Computations;Golub,1989

3. System Identification: Theory for the User;Ljung,1987

4. Fully parametrised state-space models in system identification;McKelvey,1994

5. State-space parametrisations of multi-variable linear systems using tridiagonal matrix forms;McKelvey,1996

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1. New developments for matrix fraction descriptions: A fully-parametrised approach;Automatica;2016-04

2. On Gradient-Based Search for Multivariable System Estimates;IEEE Transactions on Automatic Control;2008-02

3. ON GRADIENT-BASED SEARCH FOR MULTIVARIABLE SYSTEM ESTIMATES;IFAC Proceedings Volumes;2005

4. ROBUST AND SIMPLE ALGORITHMS FOR MAXIMUM LIKELIHOOD ESTIMATION OF MULTIVARIABLE SYSTEMS;IFAC Proceedings Volumes;2002

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