Title :
On model reduction by output covariance approximation
Author :
Resende, P. ; Martini, M.M.J.
Author_Institution :
Dept. de Engenharia Eletronica, Univ. Federal de Minas Gerais, Brazil
Abstract :
The authors present a model order reduction method for multivariable linear systems by output covariance matrix approximation. The reduced model is obtained from parameters of the complete model that are more important in the output covariance, by using a block-Schwarz state-space representation with stationary white noise inputs. For a class of multivariable systems the stability of the reduced model can be predictable
Keywords :
linear systems; matrix algebra; multivariable control systems; stability; state-space methods; block-Schwarz state-space representation; covariance matrix; model order reduction method; multivariable linear systems; output covariance approximation; stability; stationary white noise inputs; Covariance matrix; Equations; Linear systems; MIMO; Polynomials; Predictive models; Reduced order systems; Stability; Symmetric matrices; White noise;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371300
