Abstract:
System identification of linear multivariable dynamic models based on discrete-time data can be performed using a algorithm combining linear regression and LQG-balanced m...Show MoreMetadata
Abstract:
System identification of linear multivariable dynamic models based on discrete-time data can be performed using a algorithm combining linear regression and LQG-balanced model reduction. The approach is applicable also to unstable system dynamics and it provides balanced models for optimal linear prediction and control.
Date of Conference: 10-13 December 2002
Date Added to IEEE Xplore: 10 March 2003
Print ISBN:0-7803-7516-5
Print ISSN: 0191-2216
Contents 