Model reduction of singular systems via covariance approximation

Author(s):  
Jing Wang ◽  
Qingling Zhang ◽  
Wanquan Liu ◽  
V. Sreeram
2001 ◽  
Vol 32 (10) ◽  
pp. 1205-1215 ◽  
Author(s):  
W. Q. Liu ◽  
V. Sreeram

2003 ◽  
Vol 150 (6) ◽  
pp. 637-641 ◽  
Author(s):  
S. Xu ◽  
J. Lam ◽  
W. Liu ◽  
Q. Zhang

2012 ◽  
Vol 468-471 ◽  
pp. 1334-1338
Author(s):  
Lian Hua Hu ◽  
Yan Fei Qiao ◽  
Xiao Feng Yang ◽  
Gui Jing Mei

In this paper, a model reduction for discrete-time singular dynamical systems is investigated. First, by transforming the original systems, the singular systems of impulse models are decomposed into the casual subsystems and the non-casual subsystems, and the reduction problem becomes merely a simplification of the non-casual subsystems reduction. Based on the Schur decomposition and apply Matlab to reorder the Schur forms, the degree of the systems state controllability and observability is scaled by Hankel singular values, and the results show that the controllability and observability of the states which are corresponding to the smaller Hankel singular values are weaker. Based on it, a new model reduction algorithm of discrete-time singular systems is given. Finally, a numerical simulation illustrates the effectiveness of the proposed algorithm.


2007 ◽  
Vol 28 (4) ◽  
pp. 301-308 ◽  
Author(s):  
Chao Liu ◽  
Qingling Zhang ◽  
Xiaodong Duan

2004 ◽  
Vol 25 (6) ◽  
pp. 263-278 ◽  
Author(s):  
Wang Jing ◽  
Wanquan Liu ◽  
QingLing Zhang

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