The Minimal Realization of a Nonanticipative Impulse Response Matrix

1967 ◽  
Vol 15 (3) ◽  
pp. 754-764 ◽  
Author(s):  
C. A. Desoer ◽  
P. Varaiya
Keyword(s):  
Impulse Response ◽  
Minimal Realization ◽  
Response Matrix

A minimal canonical realization algorithm for impulse response matrix using moments

1975 ◽  
Vol 63 (3) ◽  
pp. 538-540 ◽  
Author(s):  
M. Lal ◽  
H. Singh ◽  
R. Parthasarathy
Keyword(s):  
Impulse Response ◽  
Response Matrix ◽  
Canonical Realization

On the realization of a class of time varying impulse response matrix

1977 ◽  
Vol 65 (7) ◽  
pp. 1064-1065 ◽  
Author(s):  
J.S. Bedi ◽  
H. Singh ◽  
A.K. Kamal
Keyword(s):  
Impulse Response ◽  
Time Varying ◽  
Response Matrix

scholarly journals Load Localization and Reconstruction Using a Variable Separation Method

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Jing Zhang ◽  
Fang Zhang ◽  
Jinhui Jiang
Keyword(s):  
Impulse Response ◽  
Time History ◽  
Separation Method ◽  
Location Information ◽  
Engineering Practice ◽  
Variable Separation ◽  
Response Matrix ◽  
Optimization Function ◽  
Load Location ◽  
Variable Separation Method

Load identification is very important in engineering practice. In this paper, a novel method for load reconstruction and localization is proposed. In the traditional load localization method, location information is coupled to the impulse response matrix. The inversion of the impulse response matrix leads the process of load localization to be time-consuming. So we propose a variable separation method to separate the load location information from the impulse response matrix. An error optimization function of load histories in different modes is employed to determine the true load location. After locating the external load, the load time history can be easily reconstructed by the measurement responses and determinate impulse response matrix. This method is verified by simulations of a simply supported beam acted by a sine load and an impact separately. An experiment is also carried out to validate the feasibility and accuracy of the proposed method.

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